Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach

This work attempts to clarify the potentials of Least Squares Support Vector Machine (LS-SVM) for detection partial rupture rotor bar of the squirrel cage asynchronous machine. The stator current spectral analysis based on FFT method is applied in order to extract the fault frequencies related to pa...

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Main Authors: Birame M'hamed, Bessedik Sid Ahmed, Benkhoris Mohamed Fouad
Format: Article
Language:English
Published: Polskie Towarzystwo Diagnostyki Technicznej 2021-02-01
Series:Diagnostyka
Subjects:
Online Access:http://www.diagnostyka.net.pl/Detection-of-partial-rotor-bar-rupture-of-a-cage-induction-motor-using-least-square,133039,0,2.html
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author Birame M'hamed
Bessedik Sid Ahmed
Benkhoris Mohamed Fouad
author_facet Birame M'hamed
Bessedik Sid Ahmed
Benkhoris Mohamed Fouad
author_sort Birame M'hamed
collection DOAJ
description This work attempts to clarify the potentials of Least Squares Support Vector Machine (LS-SVM) for detection partial rupture rotor bar of the squirrel cage asynchronous machine. The stator current spectral analysis based on FFT method is applied in order to extract the fault frequencies related to partial rupture rotor bar of the cage induction motor. Afterward the LS-SVM approach is established as monitoring system to detect the degree of broken rotor bar. The training and testing data sets used are derived from the spectral analysis of one stator phase current, containing information about characteristic harmonics related to the partial rupture rotor bar. Satisfactory and more accurate results are obtained by applying LS-SVM to fault diagnosis of rotor bar.
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spelling doaj.art-0730944d4c464ce7918903ff93b3e7532022-12-22T01:51:52ZengPolskie Towarzystwo Diagnostyki TechnicznejDiagnostyka2449-52202021-02-01221576310.29354/diag/133039133039Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approachBirame M'hamed0Bessedik Sid Ahmed1Benkhoris Mohamed Fouad2Ledmased Laboratory, University of Laghouat, 03000, Algeria(LACoSERE) University of Laghouat, 03000, AlgeriaIREENA, Saint Nazaire, Polytech’Nantes, FranceThis work attempts to clarify the potentials of Least Squares Support Vector Machine (LS-SVM) for detection partial rupture rotor bar of the squirrel cage asynchronous machine. The stator current spectral analysis based on FFT method is applied in order to extract the fault frequencies related to partial rupture rotor bar of the cage induction motor. Afterward the LS-SVM approach is established as monitoring system to detect the degree of broken rotor bar. The training and testing data sets used are derived from the spectral analysis of one stator phase current, containing information about characteristic harmonics related to the partial rupture rotor bar. Satisfactory and more accurate results are obtained by applying LS-SVM to fault diagnosis of rotor bar.http://www.diagnostyka.net.pl/Detection-of-partial-rotor-bar-rupture-of-a-cage-induction-motor-using-least-square,133039,0,2.htmlspectral analysispartial rupture rotor bar(fault diagnosisleast square support vector machine (ls-svm))
spellingShingle Birame M'hamed
Bessedik Sid Ahmed
Benkhoris Mohamed Fouad
Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
Diagnostyka
spectral analysis
partial rupture rotor bar
(fault diagnosis
least square support vector machine (ls-svm))
title Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
title_full Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
title_fullStr Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
title_full_unstemmed Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
title_short Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
title_sort detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach
topic spectral analysis
partial rupture rotor bar
(fault diagnosis
least square support vector machine (ls-svm))
url http://www.diagnostyka.net.pl/Detection-of-partial-rotor-bar-rupture-of-a-cage-induction-motor-using-least-square,133039,0,2.html
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AT bessediksidahmed detectionofpartialrotorbarruptureofacageinductionmotorusingleastsquaresupportvectormachineapproach
AT benkhorismohamedfouad detectionofpartialrotorbarruptureofacageinductionmotorusingleastsquaresupportvectormachineapproach