NDLI: Performance of a load-immune classifier for robust identification of minor faults in induction motor stator winding

Content Provider	IEEE Xplore Digital Library
Author	Das, S. Purkait, P. Koley, C. Chakravorti, S.
Copyright Year	1994
Abstract	Reliable detection of induction motor stator winding insulation failure at its early stages is a challenging issue in modern industry. Insulation failure between small number of turns, involving less than 5% turns of phase winding are often indiscernible and detection becomes even more complicated when motor operates at varying load levels. In line-fed motors, supply voltage unbalance is another inadvertent issue which may tend to exhibit current signature similar to stator winding inter-turn insulation failure case. The proposed work presents a robust system, to identify severity of stator winding insulation faults when an induction motor with random wound stator winding works under such operating conditions. In the present work, various features obtained from time, frequency, timefrequency, and non-linear analysis of stator currents at various stator winding short circuit faults and supply voltage unbalance conditions for different load levels have been studied. A Support Vector Machine based Recursive Feature Elimination (SVM-RFE) algorithm is used to identify the features which can provide discrimination information related to severity of fault level, independent of supply voltage unbalance and immune to load level variations. Among the extracted features, features obtained through Detrended Fluctuation Analysis (DFA) are found to be most robust for this purpose. Finally a Support Vector Machine in Regression mode (SVR) has been formed to identify winding failures employing the optimum number of features selected through SVM-RFE technique.
Sponsorship	National Natural Science Foundation of China (NSFC) Region Centre Ville de Tours Conseil General D'Indre et Loire ABB IEEE Sandia National Laboratories TOSHIBA
Starting Page	33
Ending Page	44
Page Count	12
File Size	1269898
File Format	PDF
ISSN	10709878
Volume Number	21
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Stator windings Circuit faults Insulation Feature extraction Fault diagnosis Recursive Feature Elimination Stator inter-turn insulation failure Load Immunity Park¿s Vector Modulus Wavelet Support Vector Regression Detrended FluctuationAnalysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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