Detection of stator winding inter-turn short circuit faults in permanent magnet synchronous motors and automatic classification of fault severity via a pattern recognition system

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dc.authorscopusid57096024900
dc.authorscopusid7801529067
dc.authorscopusid6701316707
dc.contributor.authorCira F.
dc.contributor.authorArkan M.
dc.contributor.authorGumus B.
dc.date.accessioned2024-08-04T20:03:30Z
dc.date.available2024-08-04T20:03:30Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic classification of fault severity via a pattern recognition system (PRS) are presented. In the case of a stator short circuit fault, performance losses become an important issue for SPMSMs. To detect stator winding short circuit faults automatically and to estimate the severity of the fault, an artificial neural network (ANN)-based PRS was used. It was found that the amplitude of the third harmonic of the current was the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To validate the proposed method, both simulation results and experimental results are presented. © The Korean Institute of Electrical Engineers.en_US
dc.identifier.doi10.5370/JEET.2016.11.2.416
dc.identifier.endpage424en_US
dc.identifier.issn1975-0102
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84957073318en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage416en_US
dc.identifier.urihttps://doi.org/10.5370/JEET.2016.11.2.416
dc.identifier.urihttps://hdl.handle.net/11616/91852
dc.identifier.volume11en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKorean Institute of Electrical Engineersen_US
dc.relation.ispartofJournal of Electrical Engineering and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCondition monitoringen_US
dc.subjectDigital signal processingen_US
dc.subjectFault detectionen_US
dc.subjectFault severity classificationen_US
dc.subjectPattern recognition systemen_US
dc.subjectPermanent magnet synchronous motorsen_US
dc.titleDetection of stator winding inter-turn short circuit faults in permanent magnet synchronous motors and automatic classification of fault severity via a pattern recognition systemen_US
dc.typeArticleen_US

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