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diagnosis power transformers</title> <meta name="description" content="Search results for: fault diagnosis power transformers"> <meta name="keywords" content="fault diagnosis power transformers"> <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 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method="get" 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 diagnosis power transformers"> <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> 8628</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: fault diagnosis power transformers</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8628</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">8627</span> Development of Fault Diagnosis Technology for Power System Based on Smart Meter </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chih-Chieh%20Yang">Chih-Chieh Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chung-Neng%20Huang"> Chung-Neng Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In power system, how to improve the fault diagnosis technology of transmission line has always been the primary goal of power grid operators. In recent years, due to the rise of green energy, the addition of all kinds of distributed power also has an impact on the stability of the power system. Because the smart meters are with the function of data recording and bidirectional transmission, the adaptive Fuzzy Neural inference system, ANFIS, as well as the artificial intelligence that has the characteristics of learning and estimation in artificial intelligence. For transmission network, in order to avoid misjudgment of the fault type and location due to the input of these unstable power sources, combined with the above advantages of smart meter and ANFIS, a method for identifying fault types and location of faults is proposed in this study. In ANFIS training, the bus voltage and current information collected by smart meters can be trained through the ANFIS tool in MATLAB to generate fault codes to identify different types of faults and the location of faults. In addition, due to the uncertainty of distributed generation, a wind power system is added to the transmission network to verify the diagnosis correctness of the study. Simulation results show that the method proposed in this study can correctly identify the fault type and location of fault with more efficiency, and can deal with the interference caused by the addition of unstable power sources. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANFIS" title="ANFIS">ANFIS</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=power%20system" title=" power system"> power system</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20meter" title=" smart meter"> smart meter</a> </p> <a href="https://publications.waset.org/abstracts/104268/development-of-fault-diagnosis-technology-for-power-system-based-on-smart-meter" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104268.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">138</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">8626</span> Application of Support Vector Machines in Fault Detection and Diagnosis of Power Transmission Lines </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20A.%20Farhat">I. A. Farhat</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Bin%20Hasan"> M. Bin Hasan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A developed approach for the protection of power transmission lines using Support Vector Machines (SVM) technique is presented. In this paper, the SVM technique is utilized for the classification and isolation of faults in power transmission lines. Accurate fault classification and location results are obtained for all possible types of short circuit faults. As in distance protection, the approach utilizes the voltage and current post-fault samples as inputs. The main advantage of the method introduced here is that the method could easily be extended to any power transmission line. <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=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20transmission%20line%20protection" title=" power transmission line protection"> power transmission line protection</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machines%20%28SVM%29" title=" support vector machines (SVM)"> support vector machines (SVM)</a> </p> <a href="https://publications.waset.org/abstracts/13818/application-of-support-vector-machines-in-fault-detection-and-diagnosis-of-power-transmission-lines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13818.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">558</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">8625</span> Application of Neural Petri Net to Electric Control System Fault Diagnosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadiq%20J.%20Abou-Loukh">Sadiq J. Abou-Loukh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present work deals with implementation of Petri nets, which own the perfect ability of modeling, are used to establish a fault diagnosis model. Fault diagnosis of a control system received considerable attention in the last decades. The formalism of representing neural networks based on Petri nets has been presented. Neural Petri Net (NPN) reasoning model is investigated and developed for the fault diagnosis process of electric control system. The proposed NPN has the characteristics of easy establishment and high efficiency, and fault status within the system can be described clearly when compared with traditional testing methods. The proposed system is tested and the simulation results are given. The implementation explains the advantages of using NPN method and can be used as a guide for different online applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=petri%20net" title="petri net">petri net</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20petri%20net" title=" neural petri net"> neural petri net</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20control%20system" title=" electric control system"> electric control system</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis" title=" fault diagnosis"> fault diagnosis</a> </p> <a href="https://publications.waset.org/abstracts/16653/application-of-neural-petri-net-to-electric-control-system-fault-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16653.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">474</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">8624</span> Motor Gear Fault Diagnosis by Measurement of Current, Noise and Vibration on AC Machine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sun-Ki%20Hong">Sun-Ki Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Ki-Seok%20Kim"> Ki-Seok Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Ho%20Jo"> Yong-Ho Jo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lots of motors have been being used in industry. Therefore many researchers have studied about the failure diagnosis of motors. In this paper, the effect of measuring environment for diagnosis of gear fault connected to a motor shaft is studied. The fault diagnosis is executed through the comparison of normal gear and abnormal gear. The measured FFT data are compared with the normal data and analyzed for q-axis current, noise and vibration. For bad and good environment, the diagnosis results are compared. From these, it is shown that the bad measuring environment may not be able to detect exactly the motor gear fault. Therefore it is emphasized that the measuring environment should be carefully prepared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motor%20fault" title="motor fault">motor fault</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=FFT" title=" FFT"> FFT</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration" title=" vibration"> vibration</a>, <a href="https://publications.waset.org/abstracts/search?q=noise" title=" noise"> noise</a>, <a href="https://publications.waset.org/abstracts/search?q=q-axis%20current" title=" q-axis current"> q-axis current</a>, <a href="https://publications.waset.org/abstracts/search?q=measuring%20environment" title=" measuring environment"> measuring environment</a> </p> <a href="https://publications.waset.org/abstracts/32684/motor-gear-fault-diagnosis-by-measurement-of-current-noise-and-vibration-on-ac-machine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32684.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">557</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">8623</span> Fourier Transform and Machine Learning Techniques for Fault Detection and Diagnosis of Induction Motors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Duc%20V.%20Nguyen">Duc V. Nguyen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Induction motors are widely used in different industry areas and can experience various kinds of faults in stators and rotors. In general, fault detection and diagnosis techniques for induction motors can be supervised by measuring quantities such as noise, vibration, and temperature. The installation of mechanical sensors in order to assess the health conditions of a machine is typically only done for expensive or load-critical machines, where the high cost of a continuous monitoring system can be Justified. Nevertheless, induced current monitoring can be implemented inexpensively on machines with arbitrary sizes by using current transformers. In this regard, effective and low-cost fault detection techniques can be implemented, hence reducing the maintenance and downtime costs of motors. This work proposes a method for fault detection and diagnosis of induction motors, which combines classical fast Fourier transform and modern/advanced machine learning techniques. The proposed method is validated on real-world data and achieves a precision of 99.7% for fault detection and 100% for fault classification with minimal expert knowledge requirement. In addition, this approach allows users to be able to optimize/balance risks and maintenance costs to achieve the highest benet based on their requirements. These are the key requirements of a robust prognostics and health management system. <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=FFT" title=" FFT"> FFT</a>, <a href="https://publications.waset.org/abstracts/search?q=induction%20motor" title=" induction motor"> induction motor</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20maintenance" title=" predictive maintenance"> predictive maintenance</a> </p> <a href="https://publications.waset.org/abstracts/134923/fourier-transform-and-machine-learning-techniques-for-fault-detection-and-diagnosis-of-induction-motors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134923.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">170</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">8622</span> Global Voltage Harmonic Index for Measuring Harmonic Situation of Power Grids: A Focus on Power Transformers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Zabihi">Alireza Zabihi</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Peyghami"> Saeed Peyghami</a>, <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Mokhtari"> Hossein Mokhtari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the increasing deployment of renewable power plants, such as solar and wind, it is crucial to measure the harmonic situation of the grid. This paper proposes a global voltage harmonic index to measure the harmonic situation of the power grid with a focus on power transformers. The power electronics systems used to connect these plants to the network can introduce harmonics, leading to increased losses, reduced efficiency, false operation of protective relays, and equipment damage due to harmonic intensifications. The proposed index considers the losses caused by harmonics in power transformers which are of great importance and value to the network, providing a comprehensive measure of the harmonic situation of the grid. The effectiveness of the proposed index is evaluated on a real-world distribution network, and the results demonstrate its ability to identify the harmonic situation of the network, particularly in relation to power transformers. The proposed index provides a comprehensive measure of the harmonic situation of the grid, taking into account the losses caused by harmonics in power transformers. The proposed index has the potential to support power companies in optimizing their power systems and to guide researchers in developing effective mitigation strategies for harmonics in the power grid. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=global%20voltage%20harmonic%20index" title="global voltage harmonic index">global voltage harmonic index</a>, <a href="https://publications.waset.org/abstracts/search?q=harmonics" title=" harmonics"> harmonics</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20grid" title=" power grid"> power grid</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20quality" title=" power quality"> power quality</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20transformers" title=" power transformers"> power transformers</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a> </p> <a href="https://publications.waset.org/abstracts/169470/global-voltage-harmonic-index-for-measuring-harmonic-situation-of-power-grids-a-focus-on-power-transformers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169470.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">127</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">8621</span> A Novel Approach of Power Transformer Diagnostic Using 3D FEM Parametrical Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Brandt">M. Brandt</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Peniak"> A. Peniak</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Makarovi%C4%8D"> J. Makarovič</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Rafajdus"> P. Rafajdus</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with a novel approach of power transformers diagnostics. This approach identifies the exact location and the range of a fault in the transformer and helps to reduce operation costs related to handling of the faulty transformer, its disassembly and repair. The advantage of the approach is a possibility to simulate healthy transformer and also all faults, which can occur in transformer during its operation without its disassembling, which is very expensive in practice. The approach is based on creating frequency dependent impedance of the transformer by sweep frequency response analysis measurements and by 3D FE parametrical modeling of the fault in the transformer. The parameters of the 3D FE model are the position and the range of the axial short circuit. Then, by comparing the frequency dependent impedances of the parametrical models with the measured ones, the location and the range of the fault is identified. The approach was tested on a real transformer and showed high coincidence between the real fault and the simulated one. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=transformer" title="transformer">transformer</a>, <a href="https://publications.waset.org/abstracts/search?q=parametrical%20model%20of%20transformer" title=" parametrical model of transformer"> parametrical model of transformer</a>, <a href="https://publications.waset.org/abstracts/search?q=fault" title=" fault"> fault</a>, <a href="https://publications.waset.org/abstracts/search?q=sweep%20frequency%20response%20analysis" title=" sweep frequency response analysis"> sweep frequency response analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20method" title=" finite element method"> finite element method</a> </p> <a href="https://publications.waset.org/abstracts/13144/a-novel-approach-of-power-transformer-diagnostic-using-3d-fem-parametrical-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13144.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">482</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">8620</span> Actuator Fault Detection and Fault Tolerant Control of a Nonlinear System Using Sliding Mode Observer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Loukil">R. Loukil</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Chtourou"> M. Chtourou</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Damak"> T. Damak </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we use the Fault detection and isolation and the Fault tolerant control based on sliding mode observer in order to introduce the well diagnosis of a nonlinear system. The robustness of the proposed observer for the two techniques is tested through a physical example. The results in this paper show the interaction between the Fault tolerant control and the Diagnosis procedure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20detection%20and%20isolation%20FDI" title="fault detection and isolation FDI">fault detection and isolation FDI</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20tolerant%20control%20FTC" title=" fault tolerant control FTC"> fault tolerant control FTC</a>, <a href="https://publications.waset.org/abstracts/search?q=sliding%20mode%20observer" title=" sliding mode observer"> sliding mode observer</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20system" title=" nonlinear system"> nonlinear system</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness" title=" robustness"> robustness</a>, <a href="https://publications.waset.org/abstracts/search?q=stability" title=" stability"> stability</a> </p> <a href="https://publications.waset.org/abstracts/41716/actuator-fault-detection-and-fault-tolerant-control-of-a-nonlinear-system-using-sliding-mode-observer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41716.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> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8619</span> Asynchronous Sequential Machines with Fault Detectors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seong%20Woo%20Kwak">Seong Woo Kwak</a>, <a href="https://publications.waset.org/abstracts/search?q=Jung-Min%20Yang"> Jung-Min Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A strategy of fault diagnosis and tolerance for asynchronous sequential machines is discussed in this paper. With no synchronizing clock, it is difficult to diagnose an occurrence of permanent or stuck-in faults in the operation of asynchronous machines. In this paper, we present a fault detector comprised of a timer and a set of static functions to determine the occurrence of faults. In order to realize immediate fault tolerance, corrective control theory is applied to designing a dynamic feedback controller. Existence conditions for an appropriate controller and its construction algorithm are presented in terms of reachability of the machine and the feature of fault occurrences. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asynchronous%20sequential%20machines" title="asynchronous sequential machines">asynchronous sequential machines</a>, <a href="https://publications.waset.org/abstracts/search?q=corrective%20control" title=" corrective control"> corrective control</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20diagnosis%20and%20tolerance" title=" fault diagnosis and tolerance"> fault diagnosis and tolerance</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20detector" title=" fault detector"> fault detector</a> </p> <a href="https://publications.waset.org/abstracts/53634/asynchronous-sequential-machines-with-fault-detectors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53634.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">349</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">8618</span> On the Representation of Actuator Faults Diagnosis and Systems Invertibility</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F.%20Sallem">F. Sallem</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Dahhou"> B. Dahhou</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Kamoun"> A. Kamoun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, the main problem considered is the detection and the isolation of the actuator fault. A new formulation of the linear system is generated to obtain the conditions of the actuator fault diagnosis. The proposed method is based on the representation of the actuator as a subsystem connected with the process system in cascade manner. The designed formulation is generated to obtain the conditions of the actuator fault detection and isolation. Detectability conditions are expressed in terms of the invertibility notions. An example and a comparative analysis with the classic formulation illustrate the performances of such approach for simple actuator fault diagnosis by using the linear model of nuclear reactor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=actuator%20fault" title="actuator fault">actuator fault</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=left%20invertibility" title=" left invertibility"> left invertibility</a>, <a href="https://publications.waset.org/abstracts/search?q=nuclear%20reactor" title=" nuclear reactor"> nuclear reactor</a>, <a href="https://publications.waset.org/abstracts/search?q=observability" title=" observability"> observability</a>, <a href="https://publications.waset.org/abstracts/search?q=parameter%20intervals" title=" parameter intervals"> parameter intervals</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20inversion" title=" system inversion"> system inversion</a> </p> <a href="https://publications.waset.org/abstracts/5525/on-the-representation-of-actuator-faults-diagnosis-and-systems-invertibility" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5525.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">405</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">8617</span> Weight Comparison of Oil and Dry Type Distribution Transformers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Murat%20Toren">Murat Toren</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20%C3%87elebi"> Mehmet Çelebi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reducing the weight of transformers while providing good performance, cost reduction and increased efficiency is important. Weight is one of the most significant factors in all electrical machines, and as such, many transformer design parameters are related to weight calculations. This study presents a comparison of the weight of oil type transformers and dry type transformer weight. Oil type transformers are mainly used in industry; however, dry type transformers are becoming more widespread in recent years. MATLAB is typically used for designing transformers and design parameters (rated voltages, core loss, etc.) along with design in ANSYS Maxwell. Similar to other studies, this study presented that the dry type transformer option is limited. Moreover, the commonly-used 50 kVA distribution transformers in the industry are oil type and dry type transformers are designed and considered in terms of weight. Currently, the preference for low-cost oil-type transformers would change if costs for dry-type transformer were more competitive. The aim of this study was to compare the weight of transformers, which is a substantial cost factor, and to provide an evaluation about increasing the use of dry type transformers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=weight" title="weight">weight</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=oil-type%20transformers" title=" oil-type transformers"> oil-type transformers</a>, <a href="https://publications.waset.org/abstracts/search?q=dry-type%20transformers" title=" dry-type transformers"> dry-type transformers</a> </p> <a href="https://publications.waset.org/abstracts/49059/weight-comparison-of-oil-and-dry-type-distribution-transformers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49059.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">353</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">8616</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">8615</span> Fault Diagnosis of Nonlinear Systems Using Dynamic Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Sobhani-Tehrani">E. Sobhani-Tehrani</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Khorasani"> K. Khorasani</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Meskin"> N. Meskin </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a novel integrated hybrid approach for fault diagnosis (FD) of nonlinear systems. Unlike most FD techniques, the proposed solution simultaneously accomplishes fault detection, isolation, and identification (FDII) within a unified diagnostic module. At the core of this solution is a bank of adaptive neural parameter estimators (NPE) associated with a set of single-parameter fault models. The NPEs continuously estimate unknown fault parameters (FP) that are indicators of faults in the system. Two NPE structures including series-parallel and parallel are developed with their exclusive set of desirable attributes. The parallel scheme is extremely robust to measurement noise and possesses a simpler, yet more solid, fault isolation logic. On the contrary, the series-parallel scheme displays short FD delays and is robust to closed-loop system transients due to changes in control commands. Finally, a fault tolerant observer (FTO) is designed to extend the capability of the NPEs to systems with partial-state measurement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hybrid%20fault%20diagnosis" title="hybrid fault diagnosis">hybrid fault diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20neural%20networks" title=" dynamic neural networks"> dynamic neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20systems" title=" nonlinear systems"> nonlinear systems</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20tolerant%20observer" title=" fault tolerant observer"> fault tolerant observer</a> </p> <a href="https://publications.waset.org/abstracts/23088/fault-diagnosis-of-nonlinear-systems-using-dynamic-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23088.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">401</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">8614</span> Fault Diagnosis in Induction Motor</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kirti%20Gosavi">Kirti Gosavi</a>, <a href="https://publications.waset.org/abstracts/search?q=Anita%20Bhole"> Anita Bhole</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper demonstrates simulation and steady-state performance of three phase squirrel cage induction motor and detection of rotor broken bar fault using MATLAB. This simulation model is successfully used in the fault detection of rotor broken bar for the induction machines. A dynamic model using PWM inverter and mathematical modelling of the motor is developed. The dynamic simulation of the small power induction motor is one of the key steps in the validation of the design process of the motor drive system and it is needed for eliminating advertent design errors and the resulting error in the prototype construction and testing. The simulation model will be helpful in detecting the faults in three phase induction motor using Motor current signature analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=squirrel%20cage%20induction%20motor" title="squirrel cage induction motor">squirrel cage induction motor</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse%20width%20modulation%20%28PWM%29" title=" pulse width modulation (PWM)"> pulse width modulation (PWM)</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=induction%20motor" title=" induction motor"> induction motor</a> </p> <a href="https://publications.waset.org/abstracts/22499/fault-diagnosis-in-induction-motor" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22499.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">633</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">8613</span> Observer-based Robust Diagnosis for Wind Turbine System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Odofin">Sarah Odofin</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiwei%20Gao"> Zhiwei Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Operations and maintenance of wind turbine have received much attention by researcher due to rapid expansion of wind farms. This paper explores a novel fault diagnosis that is designed and optimized to be very sensitive to faults and robust to disturbances. The faults considered are the sensor faults of which the augmented observer is considered to enlarge faults and to be robust to disturbance. A qualitative model based analysis is proposed for early fault diagnosis to minimize downtime mostly caused by components breakdown and exploit productivity. Simulation results are computed validating the models provided which demonstrates system performance using practical application of fault type examples. The results demonstrate the effectiveness of the developed techniques investigated in a Matlab/Simulink environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine" title="wind turbine">wind turbine</a>, <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=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</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=augmented%20observer" title=" augmented observer"> augmented observer</a>, <a href="https://publications.waset.org/abstracts/search?q=disturbance%20robustness" title=" disturbance robustness"> disturbance robustness</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20estimation" title=" fault estimation"> fault estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20monitoring" title=" sensor monitoring"> sensor monitoring</a> </p> <a href="https://publications.waset.org/abstracts/18297/observer-based-robust-diagnosis-for-wind-turbine-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18297.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">497</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">8612</span> Application of Local Mean Decomposition for Rolling Bearing Fault Diagnosis Based On Vibration Signals</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=Slimane%20Mekhilef"> Slimane Mekhilef</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Tadjine"> Kamel Tadjine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vibration analysis has been frequently applied in the condition monitoring and fault diagnosis of rolling element bearings. Unfortunately, the vibration signals collected from a faulty bearing are generally non stationary, 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=condition%20monitoring" title=" condition monitoring"> condition monitoring</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=rolling%20element%20bearing" title=" rolling element bearing"> rolling element bearing</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20analysis" title=" vibration analysis"> vibration analysis</a> </p> <a href="https://publications.waset.org/abstracts/31381/application-of-local-mean-decomposition-for-rolling-bearing-fault-diagnosis-based-on-vibration-signals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31381.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">397</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">8611</span> Feasiblity of Replacing Inductive Instrument Transformers with Non-Conventional Intrument Transformers to replace</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20A.%20Wallace">David A. Wallace</a>, <a href="https://publications.waset.org/abstracts/search?q=Salakjit%20J.%20Nilboworn"> Salakjit J. Nilboworn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Secure and reliable transmission and distribution of electrical power is crucial in today’s ever-increasing demand for electricity. Traditional methods of protecting the electrical grid have relied on relaying systems receiving voltage and current inputs from inductive instruments transformers (IT). This method has provided robust and stable performance throughout the years. Today with the advent of new non-conventional transformers (NCIT) and sensors, the electrical landscape is changing. These new systems have to ability to provide the same electrical performance as traditional instrument transformers with the added features of data acquisition, communication, smaller footprint, lower cost and resistance to GMD/GIC events. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=non-conventional%20instrument%20transformers" title="non-conventional instrument transformers">non-conventional instrument transformers</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20substations" title=" digital substations"> digital substations</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20grids" title=" smart grids"> smart grids</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-grids" title=" micro-grids"> micro-grids</a> </p> <a href="https://publications.waset.org/abstracts/169714/feasiblity-of-replacing-inductive-instrument-transformers-with-non-conventional-intrument-transformers-to-replace" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169714.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">82</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">8610</span> Root Mean Square-Based Method for Fault Diagnosis and Fault Detection and Isolation of Current Fault Sensor in an Induction Machine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Akrad">Ahmad Akrad</a>, <a href="https://publications.waset.org/abstracts/search?q=Rabia%20Sehab"> Rabia Sehab</a>, <a href="https://publications.waset.org/abstracts/search?q=Fadi%20Alyoussef"> Fadi Alyoussef</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, induction machines are widely used in industry thankful to their advantages comparing to other technologies. Indeed, there is a big demand because of their reliability, robustness and cost. The objective of this paper is to deal with diagnosis, detection and isolation of faults in a three-phase induction machine. Among the faults, Inter-turn short-circuit fault (ITSC), current sensors fault and single-phase open circuit fault are selected to deal with. However, a fault detection method is suggested using residual errors generated by the root mean square (RMS) of phase currents. The application of this method is based on an asymmetric nonlinear model of Induction Machine considering the winding fault of the three axes frame state space. In addition, current sensor redundancy and sensor fault detection and isolation (FDI) are adopted to ensure safety operation of induction machine drive. Finally, a validation is carried out by simulation in healthy and faulty operation modes to show the benefit of the proposed method to detect and to locate with, a high reliability, the three types of 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=asymmetric%20nonlinear%20model" title=" asymmetric nonlinear model"> asymmetric nonlinear model</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=inter-turn%20short-circuit%20fault" title=" inter-turn short-circuit fault"> inter-turn short-circuit fault</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20mean%20square" title=" root mean square"> root mean square</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20sensor%20fault" title=" current sensor fault"> current sensor fault</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20detection%20and%20isolation" title=" fault detection and isolation"> fault detection and isolation</a> </p> <a href="https://publications.waset.org/abstracts/133081/root-mean-square-based-method-for-fault-diagnosis-and-fault-detection-and-isolation-of-current-fault-sensor-in-an-induction-machine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133081.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">8609</span> Dissolved Gas Analysis Based Regression Rules from Trained ANN for Transformer Fault Diagnosis </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepika%20Bhalla">Deepika Bhalla</a>, <a href="https://publications.waset.org/abstracts/search?q=Raj%20Kumar%20Bansal"> Raj Kumar Bansal</a>, <a href="https://publications.waset.org/abstracts/search?q=Hari%20Om%20Gupta"> Hari Om Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dissolved Gas Analysis (DGA) has been widely used for fault diagnosis in a transformer. Artificial neural networks (ANN) have high accuracy but are regarded as black boxes that are difficult to interpret. For many problems it is desired to extract knowledge from trained neural networks (NN) so that the user can gain a better understanding of the solution arrived by the NN. This paper applies a pedagogical approach for rule extraction from function approximating neural networks (REFANN) with application to incipient fault diagnosis using the concentrations of the dissolved gases within the transformer oil, as the input to the NN. The input space is split into subregions and for each subregion there is a linear equation that is used to predict the type of fault developing within a transformer. The experiments on real data indicate that the approach used can extract simple and useful rules and give fault predictions that match the actual fault and are at times also better than those predicted by the IEC method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=dissolved%20gas%20analysis" title=" dissolved gas analysis"> dissolved gas analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=rules%20extraction" title=" rules extraction"> rules extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=transformer" title=" transformer"> transformer</a> </p> <a href="https://publications.waset.org/abstracts/14091/dissolved-gas-analysis-based-regression-rules-from-trained-ann-for-transformer-fault-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14091.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">536</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">8608</span> On Fault Diagnosis of Asynchronous Sequential Machines with Parallel Composition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jung-Min%20Yang">Jung-Min Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fault diagnosis of composite asynchronous sequential machines with parallel composition is addressed in this paper. An adversarial input can infiltrate one of two submachines comprising the composite asynchronous machine, causing an unauthorized state transition. The objective is to characterize the condition under which the controller can diagnose any fault occurrence. Two control configurations, state feedback and output feedback, are considered in this paper. In the case of output feedback, the exact estimation of the state is impossible since the current state is inaccessible and the output feedback is given as the form of burst. A simple example is provided to demonstrate the proposed methodology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asynchronous%20sequential%20machines" title="asynchronous sequential machines">asynchronous sequential machines</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20composition" title=" parallel composition"> parallel composition</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=corrective%20control" title=" corrective control"> corrective control</a> </p> <a href="https://publications.waset.org/abstracts/76606/on-fault-diagnosis-of-asynchronous-sequential-machines-with-parallel-composition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76606.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">298</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">8607</span> Experimental Set-Up for Investigation of Fault Diagnosis of a Centrifugal Pump</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maamar%20Ali%20Saud%20Al%20Tobi">Maamar Ali Saud Al Tobi</a>, <a href="https://publications.waset.org/abstracts/search?q=Geraint%20Bevan"> Geraint Bevan</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20P.%20Ramachandran"> K. P. Ramachandran</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Wallace"> Peter Wallace</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Harrison"> David Harrison</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Centrifugal pumps are complex machines which can experience different types of fault. Condition monitoring can be used in centrifugal pump fault detection through vibration analysis for mechanical and hydraulic forces. Vibration analysis methods have the potential to be combined with artificial intelligence systems where an automatic diagnostic method can be approached. An automatic fault diagnosis approach could be a good option to minimize human error and to provide a precise machine fault classification. This work aims to introduce an approach to centrifugal pump fault diagnosis based on artificial intelligence and genetic algorithm systems. An overview of the future works, research methodology and proposed experimental setup is presented and discussed. The expected results and outcomes based on the experimental work are illustrated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=centrifugal%20pump%20setup" title="centrifugal pump setup">centrifugal pump setup</a>, <a href="https://publications.waset.org/abstracts/search?q=vibration%20analysis" title=" vibration analysis"> vibration analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a> </p> <a href="https://publications.waset.org/abstracts/66155/experimental-set-up-for-investigation-of-fault-diagnosis-of-a-centrifugal-pump" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66155.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">410</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">8606</span> A Review of HVDC Modular Multilevel Converters Subjected to DC and AC Faults</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jude%20Inwumoh">Jude Inwumoh</a>, <a href="https://publications.waset.org/abstracts/search?q=Adam%20P.%20R.%20Taylor"> Adam P. R. Taylor</a>, <a href="https://publications.waset.org/abstracts/search?q=Kosala%20Gunawardane"> Kosala Gunawardane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modular multilevel converters (MMC) exhibit a highly scalable and modular characteristic with good voltage/power expansion, fault tolerance capability, low output harmonic content, good redundancy, and a flexible front-end configuration. Fault detection, location, and isolation, as well as maintaining fault ride-through (FRT), are major challenges to MMC reliability and power supply sustainability. Different papers have been reviewed to seek the best MMC configuration with fault capability. DC faults are the most common fault, while the probability that AC fault occurs in a modular multilevel converter (MCC) is low; though, AC faults consequence are severe. This paper reviews several MMC topologies and modulation techniques in tackling faults. These fault control strategies are compared based on cost, complexity, controllability, and power loss. A meshed network of half-bridge (HB) MMC topology was optimal in rendering fault ride through than any other MMC topologies but only when combined with DC circuit breakers (CBS), AC CBS, and fault current limiters (FCL). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MMC-HVDC" title="MMC-HVDC">MMC-HVDC</a>, <a href="https://publications.waset.org/abstracts/search?q=DC%20faults" title=" DC faults"> DC faults</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20current%20limiters" title=" fault current limiters"> fault current limiters</a>, <a href="https://publications.waset.org/abstracts/search?q=control%20scheme" title=" control scheme"> control scheme</a> </p> <a href="https://publications.waset.org/abstracts/113483/a-review-of-hvdc-modular-multilevel-converters-subjected-to-dc-and-ac-faults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113483.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">139</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">8605</span> Voltage Profile Enhancement in the Unbalanced Distribution Systems during Fault Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Jithendra%20Gowd">K. Jithendra Gowd</a>, <a href="https://publications.waset.org/abstracts/search?q=Ch.%20Sai%20Babu"> Ch. Sai Babu</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Sivanagaraju"> S. Sivanagaraju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electric power systems are daily exposed to service interruption mainly due to faults and human accidental interference. Short circuit currents are responsible for several types of disturbances in power systems. The fault currents are high and the voltages are reduced at the time of fault. This paper presents two suitable methods, consideration of fault resistance and Distributed Generator are implemented and analyzed for the enhancement of voltage profile during fault conditions. Fault resistance is a critical parameter of electric power systems operation due to its stochastic nature. If not considered, this parameter may interfere in fault analysis studies and protection scheme efficiency. The effect of Distributed Generator is also considered. The proposed methods are tested on the IEEE 37 bus test systems and the results are compared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20generation" title="distributed generation">distributed generation</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20distribution%20systems" title=" electrical distribution systems"> electrical distribution systems</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20resistance" title=" fault resistance"> fault resistance</a> </p> <a href="https://publications.waset.org/abstracts/14877/voltage-profile-enhancement-in-the-unbalanced-distribution-systems-during-fault-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14877.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">515</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">8604</span> Robust Fault Diagnosis for Wind Turbine Systems Subjected to Multi-Faults</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Odofin">Sarah Odofin</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiwei%20Gao"> Zhiwei Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=Sun%20Kai"> Sun Kai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Operations, maintenance and reliability of wind turbines have received much attention over the years due to rapid expansion of wind farms. This paper explores early fault diagnosis scale technique based on a unique scheme of a 5MW wind turbine system that is optimized by genetic algorithm to be very sensitive to faults and resilient to disturbances. A quantitative model based analysis is pragmatic for primary fault diagnosis monitoring assessment to minimize downtime mostly caused by components breakdown and exploit productivity consistency. Simulation results are computed validating the wind turbine model which demonstrates system performance in a practical application of fault type examples. The results show the satisfactory effectiveness of the applied performance investigated in a Matlab/Simulink/Gatool environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disturbance%20robustness" title="disturbance robustness">disturbance robustness</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20monitoring%20and%20detection" title=" fault monitoring and detection"> fault monitoring and detection</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=observer%20technique" title=" observer technique"> observer technique</a> </p> <a href="https://publications.waset.org/abstracts/19745/robust-fault-diagnosis-for-wind-turbine-systems-subjected-to-multi-faults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19745.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">8603</span> Interpretation of Sweep Frequency Response Analysis (SFRA) Traces for the Earth Fault Damage Practically Simulated on the Power Transformer Specially Developed for Performing Sweep Frequency Response Analysis for Various Transformers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Akshay%20A.%20Pandya">Akshay A. Pandya</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20R.%20Parekh"> B. R. Parekh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents how earth fault damage in the transformer can be detected by Sweep Frequency Response Analysis (SFRA). The test methods used by the authors for presenting the results are described. The power transformer of rating 10 KVA, 11000 V/440 V, 3-phase, 50 Hz, Dyn11 has been specially developed in-house for carrying out SFRA testing by practically simulated various transformer damages on it. Earth fault has been practically simulated on HV “U” phase winding and LV “W” phase winding separately. The result of these simulated faults are presented and discussed. The motivation of this presented work is to extend the guideline approach; there are ideas to organize database containing collected measurement results. Since the SFRA interpretation is based on experience, such databases are thought to be of great importance when interpreting SFRA response. The evaluation of the SFRA responses against guidelines and experience have to be performed and conclusions regarding usefulness of each simulation has been drawn and at last overall conclusion has also been drawn. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=earth%20fault%20damage" title="earth fault damage">earth fault damage</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20transformer" title=" power transformer"> power transformer</a>, <a href="https://publications.waset.org/abstracts/search?q=practical%20simulation" title=" practical simulation"> practical simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=SFRA%20traces" title=" SFRA traces"> SFRA traces</a>, <a href="https://publications.waset.org/abstracts/search?q=transformer%20damages" title=" transformer damages"> transformer damages</a> </p> <a href="https://publications.waset.org/abstracts/7095/interpretation-of-sweep-frequency-response-analysis-sfra-traces-for-the-earth-fault-damage-practically-simulated-on-the-power-transformer-specially-developed-for-performing-sweep-frequency-response-analysis-for-various-transformers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7095.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">284</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">8602</span> Evaluation of Diagnosis Performance Based on Pairwise Model Construction and Filtered Data</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> It is quite important to utilize right time and intelligent production monitoring and diagnosis of industrial processes in terms of quality and safety issues. When compared with monitoring task, fault diagnosis represents the task of finding process variables responsible causing a specific fault in the process. It can be helpful to process operators who should investigate and eliminate root causes more effectively and efficiently. This work focused on the active use of combining a nonlinear statistical technique with a preprocessing method in order to implement practical real-time fault identification schemes for data-rich cases. To compare its performance to existing identification schemes, a case study on a benchmark process was performed in several scenarios. The results showed that the proposed fault identification scheme produced more reliable diagnosis results than linear methods. In addition, the use of the filtering step improved the identification results for the complicated processes with massive data sets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title="diagnosis">diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=filtering" title=" filtering"> filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20statistical%20techniques" title=" nonlinear statistical techniques"> nonlinear statistical techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20monitoring" title=" process monitoring"> process monitoring</a> </p> <a href="https://publications.waset.org/abstracts/91828/evaluation-of-diagnosis-performance-based-on-pairwise-model-construction-and-filtered-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91828.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">243</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">8601</span> Inverter IGBT Open–Circuit Fault Detection Using Park's Vectors Enhanced by Polar Coordinates</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bendiabdellah%20Azzeddine">Bendiabdellah Azzeddine</a>, <a href="https://publications.waset.org/abstracts/search?q=Cherif%20Bilal%20Djamal%20Eddine"> Cherif Bilal Djamal Eddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The three-phase power converter voltage structure is widely used in many power applications but its failure can lead to partial or total loss of control of the phase currents and can cause serious system malfunctions or even a complete system shutdown. To ensure continuity of service in all circumstances, effective and rapid techniques of detection and location of inverter fault is to be implemented. The present paper is dedicated to open-circuit fault detection in a three-phase two-level inverter fed induction motor. For detection purpose, the proposed contribution addresses the Park’s current vectors associated to a polar coordinates calculation tool to compute the exact value of the fault angle corresponding directly to the faulty IGBT switch. The merit of the proposed contribution is illustrated by experimental results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title="diagnosis">diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=Park%E2%80%99s%20vectors" title=" Park’s vectors"> Park’s vectors</a>, <a href="https://publications.waset.org/abstracts/search?q=polar%20coordinates" title=" polar coordinates"> polar coordinates</a>, <a href="https://publications.waset.org/abstracts/search?q=open-circuit%20fault" title=" open-circuit fault"> open-circuit fault</a>, <a href="https://publications.waset.org/abstracts/search?q=inverter" title=" inverter"> inverter</a>, <a href="https://publications.waset.org/abstracts/search?q=IGBT%20switch" title=" IGBT switch"> IGBT switch</a> </p> <a href="https://publications.waset.org/abstracts/71340/inverter-igbt-open-circuit-fault-detection-using-parks-vectors-enhanced-by-polar-coordinates" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71340.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">402</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">8600</span> Modelling and Detecting the Demagnetization Fault in the Permanent Magnet Synchronous Machine Using the Current Signature Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yassa%20Nacera">Yassa Nacera</a>, <a href="https://publications.waset.org/abstracts/search?q=Badji%20Abderrezak"> Badji Abderrezak</a>, <a href="https://publications.waset.org/abstracts/search?q=Saidoune%20Abdelmalek"> Saidoune Abdelmalek</a>, <a href="https://publications.waset.org/abstracts/search?q=Houassine%20Hamza"> Houassine Hamza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Several kinds of faults can occur in a permanent magnet synchronous machine (PMSM) systems: bearing faults, electrically short/open faults, eccentricity faults, and demagnetization faults. Demagnetization fault means that the strengths of permanent magnets (PM) in PMSM decrease, and it causes low output torque, which is undesirable for EVs. The fault is caused by physical damage, high-temperature stress, inverse magnetic field, and aging. Motor current signature analysis (MCSA) is a conventional motor fault detection method based on the extraction of signal features from stator current. a simulation model of the PMSM under partial demagnetization and uniform demagnetization fault was established, and different degrees of demagnetization fault were simulated. The harmonic analyses using the Fast Fourier Transform (FFT) show that the fault diagnosis method based on the harmonic wave analysis is only suitable for partial demagnetization fault of the PMSM and does not apply to uniform demagnetization fault of the PMSM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=permanent%20magnet" title="permanent magnet">permanent magnet</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnosis" title=" diagnosis"> diagnosis</a>, <a href="https://publications.waset.org/abstracts/search?q=demagnetization" title=" demagnetization"> demagnetization</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a> </p> <a href="https://publications.waset.org/abstracts/182275/modelling-and-detecting-the-demagnetization-fault-in-the-permanent-magnet-synchronous-machine-using-the-current-signature-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182275.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">68</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">8599</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 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