A Fault Severity Index for Stator Winding Faults Detection in Vector Controlled PM Synchronous Motor

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TitreA Fault Severity Index for Stator Winding Faults Detection in Vector Controlled PM Synchronous Motor
Type de publicationJournal Article
Year of Publication2015
AuteursHadef M., Djerdir A., Ikhlef N., Mekideche M.R, N'diaye A.O
JournalJOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Volume10
Pagination2326-2333
Date PublishedNOV
Type of ArticleArticle
ISSN1975-0102
Mots-clésFault severity index (FSI), Image composition, Pattern recognition, Permanent magnet synchronous motor(PMSM), Stator turn faults Park's vector approach
Résumé

Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and diagnosis of the PMSM have been receiving a growing amount of attention among scientists and engineers in the past few years. The aim of this study is to propose a new detection technique of stator winding faults in a three-phase PMSM. This technique is based on the image analysis and recognition of the stator current Concordia patterns, and will allow the identification of turn faults in the stator winding as well as its correspondent fault index severity. A test bench of a vector controlled PMSM motor behaviors under short circuited turn in two phases stator windings has been built. Some experimental results of the phase to phase short circuits have been performed for diagnosis purpose.

DOI10.5370/JEET.2015.10.6.2326