Search results for: ARMAX

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ARMAX</title> <meta name="description" content="Search results for: ARMAX"> <meta name="keywords" content="ARMAX"> <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 class="d-block d-lg-none navbar-toggler ml-auto" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="ARMAX"> <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> 5</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: ARMAX</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Rail Degradation Modelling Using ARMAX: A Case Study Applied to Melbourne Tram System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Karimpour">M. Karimpour</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Elkhoury"> N. Elkhoury</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Hitihamillage"> L. Hitihamillage</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Moridpour"> S. Moridpour</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Hesami"> R. Hesami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is a necessity among rail transportation authorities for a superior understanding of the rail track degradation overtime and the factors influencing rail degradation. They need an accurate technique to identify the time when rail tracks fail or need maintenance. In turn, this will help to increase the level of safety and comfort of the passengers and the vehicles as well as improve the cost effectiveness of maintenance activities. An accurate model can play a key role in prediction of the long-term behaviour of railroad tracks. An accurate model can decrease the cost of maintenance. In this research, the rail track degradation is predicted using an autoregressive moving average with exogenous input (ARMAX). An ARMAX has been implemented on Melbourne tram data to estimate the values for the tram track degradation. Gauge values and rail usage in Million Gross Tone (MGT) are the main parameters used in the model. The developed model can accurately predict the future status of the tram tracks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ARMAX" title="ARMAX">ARMAX</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20systems" title=" dynamic systems"> dynamic systems</a>, <a href="https://publications.waset.org/abstracts/search?q=MGT" title=" MGT"> MGT</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=rail%20degradation" title=" rail degradation"> rail degradation</a> </p> <a href="https://publications.waset.org/abstracts/77370/rail-degradation-modelling-using-armax-a-case-study-applied-to-melbourne-tram-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77370.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">248</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">4</span> Genetic Algorithms for Parameter Identification of DC Motor ARMAX Model and Optimal Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Mansouri">A. Mansouri</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Krim"> F. Krim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents two techniques for DC motor parameters identification. We propose a numerical method using the adaptive extensive recursive least squares (AERLS) algorithm for real time parameters estimation. This algorithm, based on minimization of quadratic criterion, is realized in simulation for parameters identification of DC motor autoregressive moving average with extra inputs (ARMAX). As advanced technique, we use genetic algorithms (GA) identification with biased estimation for high dynamic performance speed regulation. DC motors are extensively used in variable speed drives, for robot and solar panel trajectory control. GA effectiveness is derived through comparison of the two approaches. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ARMAX%20model" title="ARMAX model">ARMAX model</a>, <a href="https://publications.waset.org/abstracts/search?q=DC%20motor" title=" DC motor"> DC motor</a>, <a href="https://publications.waset.org/abstracts/search?q=AERLS" title=" AERLS"> AERLS</a>, <a href="https://publications.waset.org/abstracts/search?q=GA" title=" GA"> GA</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=parameter%20identification" title=" parameter identification"> parameter identification</a>, <a href="https://publications.waset.org/abstracts/search?q=PID%20speed%20regulation" title=" PID speed regulation"> PID speed regulation</a> </p> <a href="https://publications.waset.org/abstracts/9107/genetic-algorithms-for-parameter-identification-of-dc-motor-armax-model-and-optimal-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9107.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">3</span> Model Predictive Control Applied to Thermal Regulation of Thermoforming Process Based on the Armax Linear Model and a Quadratic Criterion Formulation </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Moaine%20Jebara">Moaine Jebara</a>, <a href="https://publications.waset.org/abstracts/search?q=Lionel%20Boillereaux"> Lionel Boillereaux</a>, <a href="https://publications.waset.org/abstracts/search?q=Sofiane%20%20Belhabib"> Sofiane Belhabib</a>, <a href="https://publications.waset.org/abstracts/search?q=Michel%20Havet"> Michel Havet</a>, <a href="https://publications.waset.org/abstracts/search?q=Alain%20Sarda"> Alain Sarda</a>, <a href="https://publications.waset.org/abstracts/search?q=Pierre%20%20Mousseau"> Pierre Mousseau</a>, <a href="https://publications.waset.org/abstracts/search?q=R%C3%A9mi%20Deterre"> R茅mi Deterre</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy consumption efficiency is a major concern for the material processing industry such as thermoforming process and molding. Indeed, these systems should deliver the right amount of energy at the right time to the processed material. Recent technical development, as well as the particularities of the heating system dynamics, made the Model Predictive Control (MPC) one of the best candidates for thermal control of several production processes like molding and composite thermoforming to name a few. The main principle of this technique is to use a dynamic model of the process inside the controller in real time in order to anticipate the future behavior of the process which allows the current timeslot to be optimized while taking future timeslots into account. This study presents a procedure based on a predictive control that brings balance between optimality, simplicity, and flexibility of its implementation. The development of this approach is progressive starting from the case of a single zone before its extension to the multizone and/or multisource case, taking thus into account the thermal couplings between the adjacent zones. After a quadratic formulation of the MPC criterion to ensure the thermal control, the linear expression is retained in order to reduce calculation time thanks to the use of the ARMAX linear decomposition methods. The effectiveness of this approach is illustrated by experiment and simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title="energy efficiency">energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20decomposition%20methods" title=" linear decomposition methods"> linear decomposition methods</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20predictive%20control" title=" model predictive control"> model predictive control</a>, <a href="https://publications.waset.org/abstracts/search?q=mold%20heating%20systems" title=" mold heating systems"> mold heating systems</a> </p> <a href="https://publications.waset.org/abstracts/63419/model-predictive-control-applied-to-thermal-regulation-of-thermoforming-process-based-on-the-armax-linear-model-and-a-quadratic-criterion-formulation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/63419.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">272</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">2</span> Self Tuning Controller for Reducing Cycle to Cycle Variations in SI Engine </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alir%C4%B1za%20Kaleli">Alir谋za Kaleli</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Akif%20Ceviz"> M. Akif Ceviz</a>, <a href="https://publications.waset.org/abstracts/search?q=Erdo%C4%9Fan%20G%C3%BCner"> Erdo臒an G眉ner</a>, <a href="https://publications.waset.org/abstracts/search?q=K%C3%B6ksal%20Erent%C3%BCrk"> K枚ksal Erent眉rk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The cyclic variations in spark ignition engines occurring especially under specific engine operating conditions make the maximum pressure variable for successive in-cylinder pressure cycles. Minimization of cyclic variations has a great importance in effectively operating near to lean limit, or at low speed and load. The cyclic variations may reduce the power output of the engine, lead to operational instabilities, and result in undesirable engine vibrations and noise. In this study, spark timing is controlled in order to reduce the cyclic variations in spark ignition engines. Firstly, an ARMAX model has developed between spark timing and maximum pressure using system identification techniques. By using this model, the maximum pressure of the next cycle has been predicted. Then, self-tuning minimum variance controller has been designed to change the spark timing for consecutive cycles of the first cylinder of test engine to regulate the in-cylinder maximum pressure. The performance of the proposed controller is illustrated in real time and experimental results show that the controller has a reliable effect on cycle to cycle variations of maximum cylinder pressure when the engine works under low speed conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cyclic%20variations" title="cyclic variations">cyclic variations</a>, <a href="https://publications.waset.org/abstracts/search?q=cylinder%20pressure" title=" cylinder pressure"> cylinder pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=SI%20engines" title=" SI engines"> SI engines</a>, <a href="https://publications.waset.org/abstracts/search?q=self%20tuning%20controller" title=" self tuning controller "> self tuning controller </a> </p> <a href="https://publications.waset.org/abstracts/21971/self-tuning-controller-for-reducing-cycle-to-cycle-variations-in-si-engine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21971.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">481</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">1</span> Linear Prediction System in Measuring Glucose Level in Blood</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Intan%20Maisarah%20Abd%20Rahim">Intan Maisarah Abd Rahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Herlina%20Abdul%20Rahim"> Herlina Abdul Rahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Rashidah%20Ghazali"> Rashidah Ghazali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diabetes is a medical condition that can lead to various diseases such as stroke, heart disease, blindness and obesity. In clinical practice, the concern of the diabetic patients towards the blood glucose examination is rather alarming as some of the individual describing it as something painful with pinprick and pinch. As for some patient with high level of glucose level, pricking the fingers multiple times a day with the conventional glucose meter for close monitoring can be tiresome, time consuming and painful. With these concerns, several non-invasive techniques were used by researchers in measuring the glucose level in blood, including ultrasonic sensor implementation, multisensory systems, absorbance of transmittance, bio-impedance, voltage intensity, and thermography. This paper is discussing the application of the near-infrared (NIR) spectroscopy as a non-invasive method in measuring the glucose level and the implementation of the linear system identification model in predicting the output data for the NIR measurement. In this study, the wavelengths considered are at the 1450 nm and 1950 nm. Both of these wavelengths showed the most reliable information on the glucose presence in blood. Then, the linear Autoregressive Moving Average Exogenous model (ARMAX) model with both un-regularized and regularized methods was implemented in predicting the output result for the NIR measurement in order to investigate the practicality of the linear system in this study. However, the result showed only 50.11% accuracy obtained from the system which is far from the satisfying results that should be obtained. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diabetes" title="diabetes">diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=glucose%20level" title=" glucose level"> glucose level</a>, <a href="https://publications.waset.org/abstracts/search?q=linear" title=" linear"> linear</a>, <a href="https://publications.waset.org/abstracts/search?q=near-infrared" title=" near-infrared"> near-infrared</a>, <a href="https://publications.waset.org/abstracts/search?q=non-invasive" title=" non-invasive"> non-invasive</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction%20system" title=" prediction system"> prediction system</a> </p> <a href="https://publications.waset.org/abstracts/99535/linear-prediction-system-in-measuring-glucose-level-in-blood" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99535.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">159</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> 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Search results for: ARMAX