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tolerant control FTC</title> <meta name="description" content="Search results for: fault tolerant control FTC"> <meta name="keywords" content="fault tolerant control FTC"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="fault tolerant control FTC"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 11401</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: fault tolerant control FTC</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11281</span> Intelligent Process Data Mining for Monitoring for Fault-Free Operation of Industrial Processes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyun-Woo%20Cho">Hyun-Woo Cho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The real-time fault monitoring and diagnosis of large scale production processes is helpful and necessary in order to operate industrial process safely and efficiently producing good final product quality. Unusual and abnormal events of the process may have a serious impact on the process such as malfunctions or breakdowns. This work try to utilize process measurement data obtained in an on-line basis for the safe and some fault-free operation of industrial processes. To this end, this work evaluated the proposed intelligent process data monitoring framework based on a simulation process. The monitoring scheme extracts the fault pattern in the reduced space for the reliable data representation. Moreover, this work shows the results of using linear and nonlinear techniques for the monitoring purpose. It has shown that the nonlinear technique produced more reliable monitoring results and outperforms linear methods. The adoption of the qualitative monitoring model helps to reduce the sensitivity of the fault pattern to noise. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=process%20data" title="process data">process data</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20operation" title=" process operation"> process operation</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20monitoring" title=" real-time monitoring"> real-time monitoring</a> </p> <a href="https://publications.waset.org/abstracts/17585/intelligent-process-data-mining-for-monitoring-for-fault-free-operation-of-industrial-processes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17585.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">640</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11280</span> Approximate-Based Estimation of Single Event Upset Effect on Statistic Random-Access Memory-Based Field-Programmable Gate Arrays </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahsa%20Mousavi">Mahsa Mousavi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Reza%20Pourshaghaghi"> Hamid Reza Pourshaghaghi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Tahghighi"> Mohammad Tahghighi</a>, <a href="https://publications.waset.org/abstracts/search?q=Henk%20Corporaal"> Henk Corporaal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, Statistic Random-Access Memory-based (SRAM-based) Field-Programmable Gate Arrays (FPGAs) are widely used in aeronautics and space systems where high dependability is demanded and considered as a mandatory requirement. Since design’s circuit is stored in configuration memory in SRAM-based FPGAs; they are very sensitive to Single Event Upsets (SEUs). In addition, the adverse effects of SEUs on the electronics used in space are much higher than in the Earth. Thus, developing fault tolerant techniques play crucial roles for the use of SRAM-based FPGAs in space. However, fault tolerance techniques introduce additional penalties in system parameters, e.g., area, power, performance and design time. In this paper, an accurate estimation of configuration memory vulnerability to SEUs is proposed for approximate-tolerant applications. This vulnerability estimation is highly required for compromising between the overhead introduced by fault tolerance techniques and system robustness. In this paper, we study applications in which the exact final output value is not necessarily always a concern meaning that some of the SEU-induced changes in output values are negligible. We therefore define and propose Approximate-based Configuration Memory Vulnerability Factor (ACMVF) estimation to avoid overestimating configuration memory vulnerability to SEUs. In this paper, we assess the vulnerability of configuration memory by injecting SEUs in configuration memory bits and comparing the output values of a given circuit in presence of SEUs with expected correct output. In spite of conventional vulnerability factor calculation methods, which accounts any deviations from the expected value as failures, in our proposed method a threshold margin is considered depending on user-case applications. Given the proposed threshold margin in our model, a failure occurs only when the difference between the erroneous output value and the expected output value is more than this margin. The ACMVF is subsequently calculated by acquiring the ratio of failures with respect to the total number of SEU injections. In our paper, a test-bench for emulating SEUs and calculating ACMVF is implemented on Zynq-7000 FPGA platform. This system makes use of the Single Event Mitigation (SEM) IP core to inject SEUs into configuration memory bits of the target design implemented in Zynq-7000 FPGA. Experimental results for 32-bit adder show that, when 1% to 10% deviation from correct output is considered, the counted failures number is reduced 41% to 59% compared with the failures number counted by conventional vulnerability factor calculation. It means that estimation accuracy of the configuration memory vulnerability to SEUs is improved up to 58% in the case that 10% deviation is acceptable in output results. Note that less than 10% deviation in addition result is reasonably tolerable for many applications in approximate computing domain such as Convolutional Neural Network (CNN). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20tolerance" title="fault tolerance">fault tolerance</a>, <a href="https://publications.waset.org/abstracts/search?q=FPGA" title=" FPGA"> FPGA</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20event%20upset" title=" single event upset"> single event upset</a>, <a href="https://publications.waset.org/abstracts/search?q=approximate%20computing" title=" approximate computing"> approximate computing</a> </p> <a href="https://publications.waset.org/abstracts/89531/approximate-based-estimation-of-single-event-upset-effect-on-statistic-random-access-memory-based-field-programmable-gate-arrays" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89531.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">198</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11279</span> Analysis of Vibratory Signals Based on Local Mean Decomposition (LMD) for Rolling Bearing Fault Diagnosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Toufik%20Bensana">Toufik Bensana</a>, <a href="https://publications.waset.org/abstracts/search?q=Medkour%20Mihoub"> Medkour Mihoub</a>, <a href="https://publications.waset.org/abstracts/search?q=Slimane%20Mekhilef"> Slimane Mekhilef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of vibration analysis has been established as the most common and reliable method of analysis in the field of condition monitoring and diagnostics of rotating machinery. Rolling bearings cover a broad range of rotary machines and plays a crucial role in the modern manufacturing industry. Unfortunately, the vibration signals collected from a faulty bearing are generally nonstationary, nonlinear and with strong noise interference, so it is essential to obtain the fault features correctly. In this paper, a novel numerical analysis method based on local mean decomposition (LMD) is proposed. LMD decompose the signal into a series of product functions (PFs), each of which is the product of an envelope signal and a purely frequency modulated FM signal. The envelope of a PF is the instantaneous amplitude (IA), and the derivative of the unwrapped phase of a purely flat frequency demodulated (FM) signal is the IF. After that, the fault characteristic frequency of the roller bearing can be extracted by performing spectrum analysis to the instantaneous amplitude of PF component containing dominant fault information. The results show the effectiveness of the proposed technique in fault detection and diagnosis of rolling element bearing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title="fault diagnosis">fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=rolling%20element%20bearing" title=" rolling element bearing"> rolling element bearing</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20mean%20decomposition" title=" local mean decomposition"> local mean decomposition</a>, <a href="https://publications.waset.org/abstracts/search?q=condition%20monitoring" title=" condition monitoring"> condition monitoring</a> </p> <a href="https://publications.waset.org/abstracts/53190/analysis-of-vibratory-signals-based-on-local-mean-decomposition-lmd-for-rolling-bearing-fault-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53190.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">389</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11278</span> Fractional Residue Number System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Parisa%20Khoshvaght">Parisa Khoshvaght</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Hosseinzadeh"> Mehdi Hosseinzadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the past few years, the Residue Number System (RNS) has been receiving considerable interest due to its parallel and fault-tolerant properties. This system is a useful tool for Digital Signal Processing (DSP) since it can support parallel, carry-free, high-speed and low power arithmetic. One of the drawbacks of Residue Number System is the fractional numbers, that is, the corresponding circuit is very hard to realize in conventional CMOS technology. In this paper, we propose a method in which the numbers of transistors are significantly reduced. The related delay is extremely diminished, in the first glance we use this method to solve concerning problem of one decimal functional number some how this proposition can be extended to generalize the idea. Another advantage of this method is the independency on the kind of moduli. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20arithmetic" title="computer arithmetic">computer arithmetic</a>, <a href="https://publications.waset.org/abstracts/search?q=residue%20number%20system" title=" residue number system"> residue number system</a>, <a href="https://publications.waset.org/abstracts/search?q=number%20system" title=" number system"> number system</a>, <a href="https://publications.waset.org/abstracts/search?q=one-Hot" title=" one-Hot"> one-Hot</a>, <a href="https://publications.waset.org/abstracts/search?q=VLSI" title=" VLSI"> VLSI</a> </p> <a href="https://publications.waset.org/abstracts/30341/fractional-residue-number-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30341.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">495</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11277</span> The Impact of Failure-tolerant Restaurant Culture on Curbing Employees’ Withdrawal Behavior: The Roles of Psychological Empowerment and Mindful Leadership</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omar%20Alsetoohy">Omar Alsetoohy</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Ezzat"> Mohamed Ezzat</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Abou%20Kamar"> Mahmoud Abou Kamar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The success of a restaurant or hotel depends very much on the quality and quantity of its human resources. Thus, establishing a competitive edge through human assets requires careful attention to the practices that best leverage these assets. Usually, hotel or restaurant employees recognize customer defection as an unfavorable or unpleasant occurrence associated with failure. These failures could be in handling, communication, learning, or encouragement. Besides, employees could be afraid of blame from their colleagues and managers, which prevents them from freely discussing these mistakes with them. Such behaviors, in turn, would push employees to withdraw from the workplace. However, we have a good knowledge of the leadership outcomes, but less is known about how and why these effects occur. Accordingly, mindful leaders usually analyze the causes and underlying mechanisms of failures for work improvement. However, despite the excessive literature in the field of leadership and employee behaviors, to date, no research studies had investigated the impact of a failure-tolerant restaurant culture on the employees’ withdrawal behaviors considering the moderating role of psychological empowerment and mindful leadership. Thus, this study seeks to investigate the impact of a failure-tolerant culture on the employees’ withdrawal behaviors in fast-food restaurants in Egypt considering the moderating effects of employee empowerment and mindful leaders. This study may contribute to the existing literature by filling the gap between failure-tolerant cultures and employee withdrawal behaviors in the hospitality literature. The study may also identify the best practices for restaurant operators and managers to deal with employees' failures as an improvement tool for their performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=failure-tolerant%20culture" title="failure-tolerant culture">failure-tolerant culture</a>, <a href="https://publications.waset.org/abstracts/search?q=employees%E2%80%99%20withdrawal%20behaviors%20psychological%20empowerment" title=" employees’ withdrawal behaviors psychological empowerment"> employees’ withdrawal behaviors psychological empowerment</a>, <a href="https://publications.waset.org/abstracts/search?q=mindful%20leadership" title=" mindful leadership"> mindful leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=restaurants" title=" restaurants"> restaurants</a> </p> <a href="https://publications.waset.org/abstracts/162581/the-impact-of-failure-tolerant-restaurant-culture-on-curbing-employees-withdrawal-behavior-the-roles-of-psychological-empowerment-and-mindful-leadership" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162581.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">108</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11276</span> DGA Data Interpretation Using Extension Theory for Power Transformer Diagnostics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20P.%20Rahi">O. P. Rahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Manoj%20Kumar"> Manoj Kumar </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Power transformers are essential and expensive equipments in electrical power system. Dissolved gas analysis (DGA) is one of the most useful techniques to detect incipient faults in power transformers. However, the identification of the faulted location by conventional method is not always an easy task due to variability of gas data and operational variables. In this paper, an extension theory based power transformer fault diagnosis method is presented. Extension theory tries to solve contradictions and incompatibility problems. This paper first briefly introduces the basic concept of matter element theory, establishes the matter element models for three-ratio method, and then briefly discusses extension set theory. Detailed analysis is carried out on the extended relation function (ERF) adopted in this paper for transformer fault diagnosis. The detailed diagnosing steps are offered. Simulation proves that the proposed method can overcome the drawbacks of the conventional three-ratio method, such as no matching and failure to diagnose multi-fault. It enhances diagnosing accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DGA" title="DGA">DGA</a>, <a href="https://publications.waset.org/abstracts/search?q=extension%20theory" title=" extension theory"> extension theory</a>, <a href="https://publications.waset.org/abstracts/search?q=ERF" title=" ERF"> ERF</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis%20power%20transformers" title=" fault diagnosis power transformers"> fault diagnosis power transformers</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a> </p> <a href="https://publications.waset.org/abstracts/8083/dga-data-interpretation-using-extension-theory-for-power-transformer-diagnostics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8083.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">412</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11275</span> Preventive Maintenance of Rotating Machinery Based on Vibration Diagnosis of Rolling Bearing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Bensana">T. Bensana</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Mekhilef"> S. Mekhilef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The methodology of vibration based condition monitoring technology has been developing at a rapid stage in the recent years suiting to the maintenance of sophisticated and complicated machines. The ability of wavelet analysis to efficiently detect non-stationary, non-periodic, transient features of the vibration signal makes it a demanding tool for condition monitoring. This paper presents a methodology for fault diagnosis of rolling element bearings based on wavelet envelope power spectrum technique is analysed in both the time and frequency domains. In the time domain the auto-correlation of the wavelet de-noised signal is applied to evaluate the period of the fault pulses. However, in the frequency domain the wavelet envelope power spectrum has been used to identify the fault frequencies with the single sided complex Laplace wavelet as the mother wavelet function. Results show the superiority of the proposed method and its effectiveness in extracting fault features from the raw vibration signal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=preventive%20maintenance" title="preventive maintenance">preventive maintenance</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnostics" title=" fault diagnostics"> fault diagnostics</a>, <a href="https://publications.waset.org/abstracts/search?q=rolling%20element%20bearings" title=" rolling element bearings"> rolling element bearings</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelet%20de-noising" title=" wavelet de-noising"> wavelet de-noising</a> </p> <a href="https://publications.waset.org/abstracts/18460/preventive-maintenance-of-rotating-machinery-based-on-vibration-diagnosis-of-rolling-bearing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18460.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11274</span> Comparative Study for Power Systems Transient Stability Improvement Using SFCL ,SVC,TCBR </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sabir%20Messalti">Sabir Messalti</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Gherbi"> Ahmed Gherbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Bouchlaghem"> Ahmed Bouchlaghem </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents comparative study for power systems transient stability improvement using three FACTS devices: the SVC(Static Var Compensator), the Thyristor Control Breaking Resistor (TCBR) and superconducting fault current limiter (SFCL)The transient stability is assessed by the criterion of relative rotor angles. Critical Clearing Time (CCT) is used as an index for evaluated transient stability. The present study is tested on the WSCC3 nine-bus system in the case of three-phase short circuit fault on one transmission line. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SVC" title="SVC">SVC</a>, <a href="https://publications.waset.org/abstracts/search?q=TCBR" title=" TCBR"> TCBR</a>, <a href="https://publications.waset.org/abstracts/search?q=SFCL" title=" SFCL"> SFCL</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20systems%20transient%20stability%20improvement" title=" power systems transient stability improvement"> power systems transient stability improvement</a> </p> <a href="https://publications.waset.org/abstracts/14270/comparative-study-for-power-systems-transient-stability-improvement-using-sfcl-svctcbr" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14270.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">650</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11273</span> A New Method for Fault Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Hakan%20Karaata">Mehmet Hakan Karaata</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Hamdan"> Ali Hamdan</a>, <a href="https://publications.waset.org/abstracts/search?q=Omer%20Yusuf%20Adam%20Mohamed"> Omer Yusuf Adam Mohamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Consider a distributed system that delivers messages from a process to another. Such a system is often required to deliver each message to its destination regardless of whether or not the system components experience arbitrary forms of faults. In addition, each message received by the destination must be a message sent by a system process. In this paper, we first identify the necessary and sufficient conditions to detect some restricted form of Byzantine faults referred to as modifying Byzantine faults. An observable form of a Byzantine fault whose effect is limited to the modification of a message metadata or content, timing and omission faults, and message replay is referred to as a modifying Byzantine fault. We then present a distributed protocol to detect modifying Byzantine faults using optimal number of messages over node-disjoint paths. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Byzantine%20faults" title="Byzantine faults">Byzantine faults</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20systems" title=" distributed systems"> distributed systems</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20detection" title=" fault detection"> fault detection</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20protocols" title=" network protocols"> network protocols</a>, <a href="https://publications.waset.org/abstracts/search?q=node-disjoint%20paths" title=" node-disjoint paths"> node-disjoint paths</a> </p> <a href="https://publications.waset.org/abstracts/21437/a-new-method-for-fault-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21437.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">448</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11272</span> Aggregation of Electric Vehicles for Emergency Frequency Regulation of Two-Area Interconnected Grid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Agheb">S. Agheb</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Ledwich"> G. Ledwich</a>, <a href="https://publications.waset.org/abstracts/search?q=G.Walker"> G.Walker</a>, <a href="https://publications.waset.org/abstracts/search?q=Z.Tong"> Z.Tong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Frequency control has become more of concern for reliable operation of interconnected power systems due to the integration of low inertia renewable energy sources to the grid and their volatility. Also, in case of a sudden fault, the system has less time to recover before widespread blackouts. Electric Vehicles (EV)s have the potential to cooperate in the Emergency Frequency Regulation (EFR) by a nonlinear control of the power system in case of large disturbances. The time is not adequate to communicate with each individual EV on emergency cases, and thus, an aggregate model is necessary for a quick response to prevent from much frequency deviation and the occurrence of any blackout. In this work, an aggregate of EVs is modelled as a big virtual battery in each area considering various aspects of uncertainty such as the number of connected EVs and their initial State of Charge (SOC) as stochastic variables. A control law was proposed and applied to the aggregate model using Lyapunov energy function to maximize the rate of reduction of total kinetic energy in a two-area network after the occurrence of a fault. The control methods are primarily based on the charging/ discharging control of available EVs as shunt capacity in the distribution system. Three different cases were studied considering the locational aspect of the model with the virtual EV either in the center of the two areas or in the corners. The simulation results showed that EVs could help the generator lose its kinetic energy in a short time after a contingency. Earlier estimation of possible contributions of EVs can help the supervisory control level to transmit a prompt control signal to the subsystems such as the aggregator agents and the grid. Thus, the percentage of EVs contribution for EFR will be characterized in the future as the goal of this study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emergency%20frequency%20regulation" title="emergency frequency regulation">emergency frequency regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=EV" title=" EV"> EV</a>, <a href="https://publications.waset.org/abstracts/search?q=aggregation" title=" aggregation"> aggregation</a>, <a href="https://publications.waset.org/abstracts/search?q=Lyapunov%20energy%20function" title=" Lyapunov energy function"> Lyapunov energy function</a> </p> <a href="https://publications.waset.org/abstracts/111333/aggregation-of-electric-vehicles-for-emergency-frequency-regulation-of-two-area-interconnected-grid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111333.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">100</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11271</span> Simulation Study of a Fault at the Switch on the Operation of the Doubly Fed Induction Generator Based on the Wind Turbine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Zerzouri">N. Zerzouri</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Benalia"> N. Benalia</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Bensiali"> N. Bensiali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work is devoted to an analysis of the operation of a doubly fed induction generator (DFIG) integrated with a wind system. The power transfer between the stator and the network is carried out by acting on the rotor via a bidirectional signal converter. The analysis is devoted to the study of a fault in the converter due to an interruption of the control of a semiconductor. Simulation results obtained by the MATLAB / Simulink software illustrate the quality of the power generated at the default. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=doubly%20fed%20induction%20generator%20%28DFIG%29" title="doubly fed induction generator (DFIG)">doubly fed induction generator (DFIG)</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20power%20generation" title=" wind power generation"> wind power generation</a>, <a href="https://publications.waset.org/abstracts/search?q=back%20to%20back%20PWM%20converter" title=" back to back PWM converter"> back to back PWM converter</a>, <a href="https://publications.waset.org/abstracts/search?q=default%20switching" title=" default switching"> default switching</a> </p> <a href="https://publications.waset.org/abstracts/10314/simulation-study-of-a-fault-at-the-switch-on-the-operation-of-the-doubly-fed-induction-generator-based-on-the-wind-turbine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10314.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">466</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11270</span> Effects of Nickel and Inoculation with Three Isolates of Ectomycorrhizal Fungus Pisolithus on Eucalyptus urophylla S. T. Blake Seedlings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20S.%20Aggangan">N. S. Aggangan</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Dell"> B. Dell</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Jeffries"> P. Jeffries</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Two moderately nickel-tolerant isolates of Pisolithus were compared with a non-Ni tolerant isolate for the ability to increase the growth of Eucalyptus urophylla seedlings in the presence of nickel (Ni) in pots in a glasshouse. Seedlings, either inoculated with mycorrhizal fungi or uninoculated, were transplanted into pots containing 3 kg steam-pasteurized yellow sand amended with five concentrations of nickel (0, 6, 12, 24 and 48 mg Ni kg-1 soil). Within a day after transplanting, all seedlings subjected to Ni rates greater than 12 mg Ni kg-1 showed symptoms of wilting and all died within two weeks. At lower nickel concentrations, inoculation with all 3 Pisolithus strains increased rates of seedling survival after 12 weeks. Inoculation with all 3 isolates Pisolithus significantly increased the growth of plants in Ni-free soils between 2 to 4 fold dependent on isolate. However, seedlings growing in soils containing 12 mg Ni kg-1 grew poorly, mycorrhizal development was inhibited and no beneficial effects of inoculation were noted. In contrast, in soils containing 6mg Ni kg-1, inoculated seedlings did not show the reduced root growth and severe toxicity symptoms (chlorosis on young leaves and shoot tips) of uninoculated seedlings. Only the Ni-tolerant Pisolithus strains conferred a significant growth benefit compared to non-inoculated controls, and plants inoculated with one of these strains grew twice the size as those inoculated with the other Ni-tolerant strain. Inorganic plant analysis revealed that inoculation increased plant growth through improved P uptake but did not prevent Ni uptake. However, toxicity may have been minimized by dilution due to an increase in plant biomass. The results suggest that only one of the Ni-tolerant strains of Pisolithus has the potential to improve the growth and survival of E. urophylla seedlings in serpentine soils in the Philippines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ectomycorrhizas" title="ectomycorrhizas">ectomycorrhizas</a>, <a href="https://publications.waset.org/abstracts/search?q=Eucalyptus%20urophylla" title=" Eucalyptus urophylla"> Eucalyptus urophylla</a>, <a href="https://publications.waset.org/abstracts/search?q=nickel%20tolerance" title=" nickel tolerance"> nickel tolerance</a>, <a href="https://publications.waset.org/abstracts/search?q=pisolithus" title=" pisolithus"> pisolithus</a> </p> <a href="https://publications.waset.org/abstracts/44636/effects-of-nickel-and-inoculation-with-three-isolates-of-ectomycorrhizal-fungus-pisolithus-on-eucalyptus-urophylla-s-t-blake-seedlings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44636.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11269</span> Induction Motor Eccentricity Fault Recognition Using Rotor Slot Harmonic with Stator Current Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nouredine%20Benouzza">Nouredine Benouzza</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Hamida%20Boudinar"> Ahmed Hamida Boudinar</a>, <a href="https://publications.waset.org/abstracts/search?q=Azeddine%20Bendiabdellah"> Azeddine Bendiabdellah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An algorithm for Eccentricity Fault Detection (EFD) applied to a squirrel cage induction machine is proposed in this paper. This algorithm employs the behavior of the stator current spectral analysis and the localization of the Rotor Slot Harmonic (RSH) frequency to detect eccentricity faults in three phase induction machine. The RHS frequency once obtained is used as a key parameter into a simple developed expression to directly compute the eccentricity fault frequencies in the induction machine. Experimental tests performed for both a healthy motor and a faulty motor with different eccentricity fault severities illustrate the effectiveness and merits of the proposed EFD algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=squirrel%20cage%20motor" title="squirrel cage motor">squirrel cage motor</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=eccentricity%20faults" title=" eccentricity faults"> eccentricity faults</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20spectral%20analysis" title=" current spectral analysis"> current spectral analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=rotor%20slot%20harmonic" title=" rotor slot harmonic"> rotor slot harmonic</a> </p> <a href="https://publications.waset.org/abstracts/71112/induction-motor-eccentricity-fault-recognition-using-rotor-slot-harmonic-with-stator-current-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71112.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">489</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11268</span> Salinity Response of Some Chickpea (Cicer arietinum L.) Genotypes in Germination and Seedling Growth of Periods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Onder%20Aldemir">Onder Aldemir</a>, <a href="https://publications.waset.org/abstracts/search?q=Ercan%20Ceyhan"> Ercan Ceyhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research was conducted to determine effects of salt concentrations on emergence and seedling development of chickpea genotypes. Trials were performed during the year of 2013 on the laboratory and greenhouse of Agricultural Faculty, Selcuk University. Emergency trial was set up according to ‘Randomized Plots Design’ by two factors and four replications; greenhouse trial was also set up according to ‘Randomized Plots Design’ by two factors with three replications. The chickpea genotypes; CA119, CA132, CA149, CA150, CA215, CA222, CA235, CA261, Bozkır and Gokce were used as material for both of the trials. Effects of the five doses of salt concentrations (control, 30 mM, 60 mM, 90 mM and 120 mM) on the ratio of emergency, speed of emergency, average time for emergency, index of sensibility, length of shoot and root, fresh weight of shoot and root, dry weight of shoot and root, index of salt tolerance were evaluated. Responses of the chickpea genotypes for salt concentrations were found different. Comparing to the control, all of the investigated characteristics on the chickpea genotypes showed significant reduction by depending on the increasing salt level. According to the effects of salt application, the chickpea genotypes Gokce, CA215 and CA222 were the most tolerant in respect to plant dry weights while the chickpea genotypes CA149 and CA150 were the most sensitive. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chickpea" title="chickpea">chickpea</a>, <a href="https://publications.waset.org/abstracts/search?q=emergence" title=" emergence"> emergence</a>, <a href="https://publications.waset.org/abstracts/search?q=salt%20tolerant" title=" salt tolerant"> salt tolerant</a>, <a href="https://publications.waset.org/abstracts/search?q=seedling%20development" title=" seedling development"> seedling development</a> </p> <a href="https://publications.waset.org/abstracts/41889/salinity-response-of-some-chickpea-cicer-arietinum-l-genotypes-in-germination-and-seedling-growth-of-periods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41889.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">234</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11267</span> The Time-Frequency Domain Reflection Method for Aircraft Cable Defects Localization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Reza%20Rezaeipour%20Honarmandzad">Reza Rezaeipour Honarmandzad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces an aircraft cable fault detection and location method in light of TFDR keeping in mind the end goal to recognize the intermittent faults adequately and to adapt to the serial and after-connector issues being hard to be distinguished in time domain reflection. In this strategy, the correlation function of reflected and reference signal is used to recognize and find the airplane fault as per the qualities of reflected and reference signal in time-frequency domain, so the hit rate of distinguishing and finding intermittent faults can be enhanced adequately. In the work process, the reflected signal is interfered by the noise and false caution happens frequently, so the threshold de-noising technique in light of wavelet decomposition is used to diminish the noise interference and lessen the shortcoming alert rate. At that point the time-frequency cross connection capacity of the reference signal and the reflected signal based on Wigner-Ville appropriation is figured so as to find the issue position. Finally, LabVIEW is connected to execute operation and control interface, the primary capacity of which is to connect and control MATLAB and LABSQL. Using the solid computing capacity and the bottomless capacity library of MATLAB, the signal processing turn to be effortlessly acknowledged, in addition LabVIEW help the framework to be more dependable and upgraded effectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aircraft%20cable" title="aircraft cable">aircraft cable</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20location" title=" fault location"> fault location</a>, <a href="https://publications.waset.org/abstracts/search?q=TFDR" title=" TFDR"> TFDR</a>, <a href="https://publications.waset.org/abstracts/search?q=LabVIEW" title=" LabVIEW"> LabVIEW</a> </p> <a href="https://publications.waset.org/abstracts/35568/the-time-frequency-domain-reflection-method-for-aircraft-cable-defects-localization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35568.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">477</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11266</span> A Mechanical Diagnosis Method Based on Vibration Fault Signal down-Sampling and the Improved One-Dimensional Convolutional Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bowei%20Yuan">Bowei Yuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shi%20Li"> Shi Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Liuyang%20Song"> Liuyang Song</a>, <a href="https://publications.waset.org/abstracts/search?q=Huaqing%20Wang"> Huaqing Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Lingli%20Cui"> Lingli Cui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Convolutional neural networks (CNN) have received extensive attention in the field of fault diagnosis. Many fault diagnosis methods use CNN for fault type identification. However, when the amount of raw data collected by sensors is massive, the neural network needs to perform a time-consuming classification task. In this paper, a mechanical fault diagnosis method based on vibration signal down-sampling and the improved one-dimensional convolutional neural network is proposed. Through the robust principal component analysis, the low-rank feature matrix of a large amount of raw data can be separated, and then down-sampling is realized to reduce the subsequent calculation amount. In the improved one-dimensional CNN, a smaller convolution kernel is used to reduce the number of parameters and computational complexity, and regularization is introduced before the fully connected layer to prevent overfitting. In addition, the multi-connected layers can better generalize classification results without cumbersome parameter adjustments. The effectiveness of the method is verified by monitoring the signal of the centrifugal pump test bench, and the average test accuracy is above 98%. When compared with the traditional deep belief network (DBN) and support vector machine (SVM) methods, this method has better performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title="fault diagnosis">fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20signal%20down-sampling" title=" vibration signal down-sampling"> vibration signal down-sampling</a>, <a href="https://publications.waset.org/abstracts/search?q=1D-CNN" title=" 1D-CNN"> 1D-CNN</a> </p> <a href="https://publications.waset.org/abstracts/135216/a-mechanical-diagnosis-method-based-on-vibration-fault-signal-down-sampling-and-the-improved-one-dimensional-convolutional-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135216.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11265</span> Park’s Vector Approach to Detect an Inter Turn Stator Fault in a Doubly Fed Induction Machine by a Neural Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amel%20Ourici">Amel Ourici</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An electrical machine failure that is not identified in an initial stage may become catastrophic and it may suffer severe damage. Thus, undetected machine faults may cascade in it failure, which in turn may cause production shutdowns. Such shutdowns are costly in terms of lost production time, maintenance costs, and wasted raw materials. Doubly fed induction generators are used mainly for wind energy conversion in MW power plants. This paper presents a detection of an inter turn stator fault in a doubly fed induction machine whose stator and rotor are supplied by two pulse width modulation (PWM) inverters. The method used in this article to detect this fault, is based on Park’s Vector Approach, using a neural network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=doubly%20fed%20induction%20machine" title="doubly fed induction machine">doubly fed induction machine</a>, <a href="https://publications.waset.org/abstracts/search?q=PWM%20inverter" title=" PWM inverter"> PWM inverter</a>, <a href="https://publications.waset.org/abstracts/search?q=inter%20turn%20stator%20fault" title=" inter turn stator fault"> inter turn stator fault</a>, <a href="https://publications.waset.org/abstracts/search?q=Park%E2%80%99s%20vector%20approach" title=" Park’s vector approach"> Park’s vector approach</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network "> neural network </a> </p> <a href="https://publications.waset.org/abstracts/21491/parks-vector-approach-to-detect-an-inter-turn-stator-fault-in-a-doubly-fed-induction-machine-by-a-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21491.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">608</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11264</span> Comparison of Methodologies to Compute the Probabilistic Seismic Hazard Involving Faults and Associated Uncertainties</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aude%20Gounelle">Aude Gounelle</a>, <a href="https://publications.waset.org/abstracts/search?q=Gloria%20Senfaute"> Gloria Senfaute</a>, <a href="https://publications.waset.org/abstracts/search?q=Ludivine%20Saint-Mard"> Ludivine Saint-Mard</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Chartier"> Thomas Chartier</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The long-term deformation rates of faults are not fully captured by Probabilistic Seismic Hazard Assessment (PSHA). PSHA that use catalogues to develop area or smoothed-seismicity sources is limited by the data available to constraint future earthquakes activity rates. The integration of faults in PSHA can at least partially address the long-term deformation. However, careful treatment of fault sources is required, particularly, in low strain rate regions, where estimated seismic hazard levels are highly sensitive to assumptions concerning fault geometry, segmentation and slip rate. When integrating faults in PSHA various constraints on earthquake rates from geologic and seismologic data have to be satisfied. For low strain rate regions where such data is scarce it would be especially challenging. Faults in PSHA requires conversion of the geologic and seismologic data into fault geometries, slip rates and then into earthquake activity rates. Several approaches exist for translating slip rates into earthquake activity rates. In the most frequently used approach, the background earthquakes are handled using a truncated approach, in which earthquakes with a magnitude lower or equal to a threshold magnitude (Mw) occur in the background zone, with a rate defined by the rate in the earthquake catalogue. Although magnitudes higher than the threshold are located on the fault with a rate defined using the average slip rate of the fault. As high-lighted by several research, seismic events with magnitudes stronger than the selected magnitude threshold may potentially occur in the background and not only at the fault, especially in regions of slow tectonic deformation. It also has been known that several sections of a fault or several faults could rupture during a single fault-to-fault rupture. It is then essential to apply a consistent modelling procedure to allow for a large set of possible fault-to-fault ruptures to occur aleatory in the hazard model while reflecting the individual slip rate of each section of the fault. In 2019, a tool named SHERIFS (Seismic Hazard and Earthquake Rates in Fault Systems) was published. The tool is using a methodology to calculate the earthquake rates in a fault system where the slip-rate budget of each fault is conversed into rupture rates for all possible single faults and faultto-fault ruptures. The objective of this paper is to compare the SHERIFS method with one other frequently used model to analyse the impact on the seismic hazard and through sensibility studies better understand the influence of key parameters and assumptions. For this application, a simplified but realistic case study was selected, which is in an area of moderate to hight seismicity (South Est of France) and where the fault is supposed to have a low strain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deformation%20rates" title="deformation rates">deformation rates</a>, <a href="https://publications.waset.org/abstracts/search?q=faults" title=" faults"> faults</a>, <a href="https://publications.waset.org/abstracts/search?q=probabilistic%20seismic%20hazard" title=" probabilistic seismic hazard"> probabilistic seismic hazard</a>, <a href="https://publications.waset.org/abstracts/search?q=PSHA" title=" PSHA"> PSHA</a> </p> <a href="https://publications.waset.org/abstracts/183425/comparison-of-methodologies-to-compute-the-probabilistic-seismic-hazard-involving-faults-and-associated-uncertainties" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183425.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">66</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11263</span> Hamiltonian Related Properties with and without Faults of the Dual-Cube Interconnection Network and Their Variations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shih-Yan%20Chen">Shih-Yan Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Shin-Shin%20Kao"> Shin-Shin Kao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a thorough review about dual-cubes, DCn, the related studies and their variations are given. DCn was introduced to be a network which retains the pleasing properties of hypercube Qn but has a much smaller diameter. In fact, it is so constructed that the number of vertices of DCn is equal to the number of vertices of Q2n +1. However, each vertex in DCn is adjacent to n + 1 neighbors and so DCn has (n + 1) × 2^2n edges in total, which is roughly half the number of edges of Q2n+1. In addition, the diameter of any DCn is 2n +2, which is of the same order of that of Q2n+1. For selfcompleteness, basic definitions, construction rules and symbols are provided. We chronicle the results, where eleven significant theorems are presented, and include some open problems at the end. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dual-cubes" title="dual-cubes">dual-cubes</a>, <a href="https://publications.waset.org/abstracts/search?q=dual-cube%20extensive%20networks" title=" dual-cube extensive networks"> dual-cube extensive networks</a>, <a href="https://publications.waset.org/abstracts/search?q=dual-cube-like%20networks" title=" dual-cube-like networks"> dual-cube-like networks</a>, <a href="https://publications.waset.org/abstracts/search?q=hypercubes" title=" hypercubes"> hypercubes</a>, <a href="https://publications.waset.org/abstracts/search?q=fault-tolerant%20hamiltonian%20property" title=" fault-tolerant hamiltonian property"> fault-tolerant hamiltonian property</a> </p> <a href="https://publications.waset.org/abstracts/39202/hamiltonian-related-properties-with-and-without-faults-of-the-dual-cube-interconnection-network-and-their-variations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39202.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">470</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11262</span> Modifying Byzantine Fault Detection Using Disjoint Paths</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Hakan%20Karaata">Mehmet Hakan Karaata</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Hamdan"> Ali Hamdan</a>, <a href="https://publications.waset.org/abstracts/search?q=Omer%20Yusuf%20Adam%20Mohamed"> Omer Yusuf Adam Mohamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Consider a distributed system that delivers messages from a process to another. Such a system is often required to deliver each message to its destination regardless of whether or not the system components experience arbitrary forms of faults. In addition, each message received by the destination must be a message sent by a system process. In this paper, we first identify the necessary and sufficient conditions to detect some restricted form of Byzantine faults referred to as modifying Byzantine faults. An observable form of a Byzantine fault whose effect is limited to the modification of a message metadata or content, timing and omission faults, and message replay is referred to as a modifying Byzantine fault. We then present a distributed protocol to detect modifying Byzantine faults using optimal number of messages over node-disjoint paths. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Byzantine%20faults" title="Byzantine faults">Byzantine faults</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20systems" title=" distributed systems"> distributed systems</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20detection" title=" fault detection"> fault detection</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20pro-%20tocols" title=" network pro- tocols"> network pro- tocols</a>, <a href="https://publications.waset.org/abstracts/search?q=node-disjoint%20paths" title=" node-disjoint paths"> node-disjoint paths</a> </p> <a href="https://publications.waset.org/abstracts/30672/modifying-byzantine-fault-detection-using-disjoint-paths" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30672.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">566</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11261</span> Evaluation and Fault Classification for Healthcare Robot during Sit-To-Stand Performance through Center of Pressure</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tianyi%20Wang">Tianyi Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Hieyong%20Jeong"> Hieyong Jeong</a>, <a href="https://publications.waset.org/abstracts/search?q=An%20Guo"> An Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuko%20Ohno"> Yuko Ohno</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthcare robot for assisting sit-to-stand (STS) performance had aroused numerous research interests. To author’s best knowledge, knowledge about how evaluating healthcare robot is still unknown. Robot should be labeled as fault if users feel demanding during STS when they are assisted by robot. In this research, we aim to propose a method to evaluate sit-to-stand assist robot through center of pressure (CoP), then classify different STS performance. Experiments were executed five times with ten healthy subjects under four conditions: two self-performed STSs with chair heights of 62 cm and 43 cm, and two robot-assisted STSs with chair heights of 43 cm and robot end-effect speed of 2 s and 5 s. CoP was measured using a Wii Balance Board (WBB). Bayesian classification was utilized to classify STS performance. The results showed that faults occurred when decreased the chair height and slowed robot assist speed. Proposed method for fault classification showed high probability of classifying fault classes form others. It was concluded that faults for STS assist robot could be detected by inspecting center of pressure and be classified through proposed classification algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=center%20of%20pressure" title="center of pressure">center of pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20classification" title=" fault classification"> fault classification</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20robot" title=" healthcare robot"> healthcare robot</a>, <a href="https://publications.waset.org/abstracts/search?q=sit-to-stand%20movement" title=" sit-to-stand movement"> sit-to-stand movement</a> </p> <a href="https://publications.waset.org/abstracts/93907/evaluation-and-fault-classification-for-healthcare-robot-during-sit-to-stand-performance-through-center-of-pressure" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93907.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">197</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11260</span> Radar Fault Diagnosis Strategy Based on Deep Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bin%20Feng">Bin Feng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhulin%20Zong"> Zhulin Zong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radar systems are critical in the modern military, aviation, and maritime operations, and their proper functioning is essential for the success of these operations. However, due to the complexity and sensitivity of radar systems, they are susceptible to various faults that can significantly affect their performance. Traditional radar fault diagnosis strategies rely on expert knowledge and rule-based approaches, which are often limited in effectiveness and require a lot of time and resources. Deep learning has recently emerged as a promising approach for fault diagnosis due to its ability to learn features and patterns from large amounts of data automatically. In this paper, we propose a radar fault diagnosis strategy based on deep learning that can accurately identify and classify faults in radar systems. Our approach uses convolutional neural networks (CNN) to extract features from radar signals and fault classify the features. The proposed strategy is trained and validated on a dataset of measured radar signals with various types of faults. The results show that it achieves high accuracy in fault diagnosis. To further evaluate the effectiveness of the proposed strategy, we compare it with traditional rule-based approaches and other machine learning-based methods, including decision trees, support vector machines (SVMs), and random forests. The results demonstrate that our deep learning-based approach outperforms the traditional approaches in terms of accuracy and efficiency. Finally, we discuss the potential applications and limitations of the proposed strategy, as well as future research directions. Our study highlights the importance and potential of deep learning for radar fault diagnosis. It suggests that it can be a valuable tool for improving the performance and reliability of radar systems. In summary, this paper presents a radar fault diagnosis strategy based on deep learning that achieves high accuracy and efficiency in identifying and classifying faults in radar systems. The proposed strategy has significant potential for practical applications and can pave the way for further research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=radar%20system" title="radar system">radar system</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=radar%20fault" title=" radar fault"> radar fault</a> </p> <a href="https://publications.waset.org/abstracts/163350/radar-fault-diagnosis-strategy-based-on-deep-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163350.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">90</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11259</span> Review of Cable Fault Locating Methods and Usage of VLF for Real Cases of High Resistance Fault Locating</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saadat%20Ali">Saadat Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Rashid%20Abdulla%20Ahmed%20Alshehhi"> Rashid Abdulla Ahmed Alshehhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cable faults are always probable and common during or after commissioning, causing significant delays and disrupting power distribution or transmission network, which is intolerable for the utilities&service providers being their reliability and business continuity measures. Therefore, the adoption of rapid localization & rectification methodology is the main concern for them. This paper explores the present techniques available for high voltage cable localization & rectification and which is preferable with regards to easier, faster, and also less harmful to cables. It also provides insight experience of high resistance fault locating by utilization of the Very Low Frequency (VLF) method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=faults" title="faults">faults</a>, <a href="https://publications.waset.org/abstracts/search?q=VLF" title=" VLF"> VLF</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20cases" title=" real cases"> real cases</a>, <a href="https://publications.waset.org/abstracts/search?q=cables" title=" cables"> cables</a> </p> <a href="https://publications.waset.org/abstracts/163853/review-of-cable-fault-locating-methods-and-usage-of-vlf-for-real-cases-of-high-resistance-fault-locating" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11258</span> Sensor and Actuator Fault Detection in Connected Vehicles under a Packet Dropping Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Z.%20Abdollahi%20Biron">Z. Abdollahi Biron</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Pisu"> P. Pisu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Connected vehicles are one of the promising technologies for future Intelligent Transportation Systems (ITS). A connected vehicle system is essentially a set of vehicles communicating through a network to exchange their information with each other and the infrastructure. Although this interconnection of the vehicles can be potentially beneficial in creating an efficient, sustainable, and green transportation system, a set of safety and reliability challenges come out with this technology. The first challenge arises from the information loss due to unreliable communication network which affects the control/management system of the individual vehicles and the overall system. Such scenario may lead to degraded or even unsafe operation which could be potentially catastrophic. Secondly, faulty sensors and actuators can affect the individual vehicle’s safe operation and in turn will create a potentially unsafe node in the vehicular network. Further, sending that faulty sensor information to other vehicles and failure in actuators may significantly affect the safe operation of the overall vehicular network. Therefore, it is of utmost importance to take these issues into consideration while designing the control/management algorithms of the individual vehicles as a part of connected vehicle system. In this paper, we consider a connected vehicle system under Co-operative Adaptive Cruise Control (CACC) and propose a fault diagnosis scheme that deals with these aforementioned challenges. Specifically, the conventional CACC algorithm is modified by adding a Kalman filter-based estimation algorithm to suppress the effect of lost information under unreliable network. Further, a sliding mode observer-based algorithm is used to improve the sensor reliability under faults. The effectiveness of the overall diagnostic scheme is verified via simulation studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnostics" title="fault diagnostics">fault diagnostics</a>, <a href="https://publications.waset.org/abstracts/search?q=communication%20network" title=" communication network"> communication network</a>, <a href="https://publications.waset.org/abstracts/search?q=connected%20vehicles" title=" connected vehicles"> connected vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=packet%20drop%20out" title=" packet drop out"> packet drop out</a>, <a href="https://publications.waset.org/abstracts/search?q=platoon" title=" platoon"> platoon</a> </p> <a href="https://publications.waset.org/abstracts/45404/sensor-and-actuator-fault-detection-in-connected-vehicles-under-a-packet-dropping-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45404.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">239</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11257</span> Sensor Validation Using Bottleneck Neural Network and Variable Reconstruction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Somia%20Bouzid">Somia Bouzid</a>, <a href="https://publications.waset.org/abstracts/search?q=Messaoud%20Ramdani"> Messaoud Ramdani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a detection and diagnosis sensor faults method based on a Bottleneck Neural Network (BNN). The BNN approach is used as a statistical process control tool for drinking water distribution (DWD) systems to detect and isolate the sensor faults. Variable reconstruction approach is very useful for sensor fault isolation, this method is validated in simulation on a nonlinear system: actual drinking water distribution system. Several results are presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20detection" title="fault detection">fault detection</a>, <a href="https://publications.waset.org/abstracts/search?q=localization" title=" localization"> localization</a>, <a href="https://publications.waset.org/abstracts/search?q=PCA" title=" PCA"> PCA</a>, <a href="https://publications.waset.org/abstracts/search?q=NLPCA" title=" NLPCA"> NLPCA</a>, <a href="https://publications.waset.org/abstracts/search?q=auto-associative%20neural%20network" title=" auto-associative neural network"> auto-associative neural network</a> </p> <a href="https://publications.waset.org/abstracts/1534/sensor-validation-using-bottleneck-neural-network-and-variable-reconstruction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1534.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">389</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11256</span> A Study on the Functional Safety Analysis of Stage Control System Based on International Electronical Committee 61508-2</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Youn-Sung%20Kim">Youn-Sung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Hye-Mi%20Kim"> Hye-Mi Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sang-Hoon%20Seo"> Sang-Hoon Seo</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaden%20Cha"> Jaden Cha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This International standard IEC 61508 sets out a generic approach for all safety lifecycle activities for systems comprised of electrical/electronic/programmable electronic (E/E/PE) elements that are used to perform safety functions. The control unit in stage control system is safety related facilities to control state and speed for stage system running, and it performs safety-critical function by stage control system. The controller unit is part of safety loops corresponding to the IEC 61508 and classified as logic part in the safety loop. In this paper, we analyze using FMEDA (Failure Mode Effect and Diagnostic Analysis) to verification for fault tolerance methods and functional safety of control unit. Moreover, we determined SIL (Safety Integrity Level) for control unit according to the safety requirements defined in IEC 61508-2 based on an analyzed functional safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=safety%20function" title="safety function">safety function</a>, <a href="https://publications.waset.org/abstracts/search?q=failure%20mode%20effect" title=" failure mode effect"> failure mode effect</a>, <a href="https://publications.waset.org/abstracts/search?q=IEC%2061508-2" title=" IEC 61508-2"> IEC 61508-2</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnostic%20analysis" title=" diagnostic analysis"> diagnostic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=stage%20control%20system" title=" stage control system"> stage control system</a> </p> <a href="https://publications.waset.org/abstracts/78147/a-study-on-the-functional-safety-analysis-of-stage-control-system-based-on-international-electronical-committee-61508-2" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78147.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">278</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11255</span> Transformer Fault Diagnostic Predicting Model Using Support Vector Machine with Gradient Decent Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20O.%20Osaseri">R. O. Osaseri</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20R.%20Usiobaifo"> A. R. Usiobaifo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The power transformer which is responsible for the voltage transformation is of great relevance in the power system and oil-immerse transformer is widely used all over the world. A prompt and proper maintenance of the transformer is of utmost importance. The dissolved gasses content in power transformer, oil is of enormous importance in detecting incipient fault of the transformer. There is a need for accurate prediction of the incipient fault in transformer oil in order to facilitate the prompt maintenance and reducing the cost and error minimization. Study on fault prediction and diagnostic has been the center of many researchers and many previous works have been reported on the use of artificial intelligence to predict incipient failure of transformer faults. In this study machine learning technique was employed by using gradient decent algorithms and Support Vector Machine (SVM) in predicting incipient fault diagnosis of transformer. The method focuses on creating a system that improves its performance on previous result and historical data. The system design approach is basically in two phases; training and testing phase. The gradient decent algorithm is trained with a training dataset while the learned algorithm is applied to a set of new data. This two dataset is used to prove the accuracy of the proposed model. In this study a transformer fault diagnostic model based on Support Vector Machine (SVM) and gradient decent algorithms has been presented with a satisfactory diagnostic capability with high percentage in predicting incipient failure of transformer faults than existing diagnostic methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diagnostic%20model" title="diagnostic model">diagnostic model</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient%20decent" title=" gradient decent"> gradient decent</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine%20%28SVM%29" title=" support vector machine (SVM)"> support vector machine (SVM)</a>, <a href="https://publications.waset.org/abstracts/search?q=transformer%20fault" title=" transformer fault "> transformer fault </a> </p> <a href="https://publications.waset.org/abstracts/42364/transformer-fault-diagnostic-predicting-model-using-support-vector-machine-with-gradient-decent-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42364.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11254</span> A New Approach of Preprocessing with SVM Optimization Based on PSO for Bearing Fault Diagnosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tawfik%20Thelaidjia">Tawfik Thelaidjia</a>, <a href="https://publications.waset.org/abstracts/search?q=Salah%20Chenikher"> Salah Chenikher </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Bearing fault diagnosis has attracted significant attention over the past few decades. It consists of two major parts: vibration signal feature extraction and condition classification for the extracted features. In this paper, feature extraction from faulty bearing vibration signals is performed by a combination of the signal’s Kurtosis and features obtained through the preprocessing of the vibration signal samples using Db2 discrete wavelet transform at the fifth level of decomposition. In this way, a 7-dimensional vector of the vibration signal feature is obtained. After feature extraction from vibration signal, the support vector machine (SVM) was applied to automate the fault diagnosis procedure. To improve the classification accuracy for bearing fault prediction, particle swarm optimization (PSO) is employed to simultaneously optimize the SVM kernel function parameter and the penalty parameter. The results have shown feasibility and effectiveness of the proposed approach <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=condition%20monitoring" title="condition monitoring">condition monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20wavelet%20transform" title=" discrete wavelet transform"> discrete wavelet transform</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=kurtosis" title=" kurtosis"> kurtosis</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=roller%20bearing" title=" roller bearing"> roller bearing</a>, <a href="https://publications.waset.org/abstracts/search?q=rotating%20machines" title=" rotating machines"> rotating machines</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20measurement" title=" vibration measurement "> vibration measurement </a> </p> <a href="https://publications.waset.org/abstracts/2554/a-new-approach-of-preprocessing-with-svm-optimization-based-on-pso-for-bearing-fault-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2554.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">437</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11253</span> Diagnosis of Induction Machine Faults by DWT</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamidreza%20Akbari">Hamidreza Akbari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, for detection of inclined eccentricity in an induction motor, time–frequency analysis of the stator startup current is carried out. For this purpose, the discrete wavelet transform is used. Data are obtained from simulations, using winding function approach. The results show the validity of the approach for detecting the fault and discriminating with respect to other faults. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=induction%20machine" title="induction machine">induction machine</a>, <a href="https://publications.waset.org/abstracts/search?q=fault" title=" fault"> fault</a>, <a href="https://publications.waset.org/abstracts/search?q=DWT" title=" DWT"> DWT</a>, <a href="https://publications.waset.org/abstracts/search?q=electric" title=" electric"> electric</a> </p> <a href="https://publications.waset.org/abstracts/13400/diagnosis-of-induction-machine-faults-by-dwt" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13400.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">350</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11252</span> Application of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Multipoint Optimal Minimum Entropy Deconvolution in Railway Bearings Fault Diagnosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yao%20Cheng">Yao Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Weihua%20Zhang"> Weihua Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although the measured vibration signal contains rich information on machine health conditions, the white noise interferences and the discrete harmonic coming from blade, shaft and mash make the fault diagnosis of rolling element bearings difficult. In order to overcome the interferences of useless signals, a new fault diagnosis method combining Complete Ensemble Empirical Mode Decomposition with adaptive noise (CEEMDAN) and Multipoint Optimal Minimum Entropy Deconvolution (MOMED) is proposed for the fault diagnosis of high-speed train bearings. Firstly, the CEEMDAN technique is applied to adaptively decompose the raw vibration signal into a series of finite intrinsic mode functions (IMFs) and a residue. Compared with Ensemble Empirical Mode Decomposition (EEMD), the CEEMDAN can provide an exact reconstruction of the original signal and a better spectral separation of the modes, which improves the accuracy of fault diagnosis. An effective sensitivity index based on the Pearson's correlation coefficients between IMFs and raw signal is adopted to select sensitive IMFs that contain bearing fault information. The composite signal of the sensitive IMFs is applied to further analysis of fault identification. Next, for propose of identifying the fault information precisely, the MOMED is utilized to enhance the periodic impulses in composite signal. As a non-iterative method, the MOMED has better deconvolution performance than the classical deconvolution methods such Minimum Entropy Deconvolution (MED) and Maximum Correlated Kurtosis Deconvolution (MCKD). Third, the envelope spectrum analysis is applied to detect the existence of bearing fault. The simulated bearing fault signals with white noise and discrete harmonic interferences are used to validate the effectiveness of the proposed method. Finally, the superiorities of the proposed method are further demonstrated by high-speed train bearing fault datasets measured from test rig. The analysis results indicate that the proposed method has strong practicability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bearing" title="bearing">bearing</a>, <a href="https://publications.waset.org/abstracts/search?q=complete%20ensemble%20empirical%20mode%20decomposition%20with%20adaptive%20noise" title=" complete ensemble empirical mode decomposition with adaptive noise"> complete ensemble empirical mode decomposition with adaptive noise</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=multipoint%20optimal%20minimum%20entropy%20deconvolution" title=" multipoint optimal minimum entropy deconvolution"> multipoint optimal minimum entropy deconvolution</a> </p> <a href="https://publications.waset.org/abstracts/80335/application-of-complete-ensemble-empirical-mode-decomposition-with-adaptive-noise-and-multipoint-optimal-minimum-entropy-deconvolution-in-railway-bearings-fault-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80335.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">374</span> </span> </div> </div> <ul class="pagination"> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fault%20tolerant%20control%20FTC&page=4" rel="prev">&lsaquo;</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=fault%20tolerant%20control%20FTC&page=1">1</a></li> <li class="page-item"><a class="page-link" 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