A New Approach to Detect Stator Fault in Permanent Magnet Synchronous Motors

Basit Öğe Kaydı
dc.contributor.authorCira, Ferhat
dc.contributor.authorArkan, Muslum
dc.contributor.authorGumus, Bilal
dc.date.accessioned2024-04-24T17:33:10Z
dc.date.available2024-04-24T17:33:10Z
dc.date.issued2015
dc.departmentDicle Üniversitesien_US
dc.description10th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics, and Drives (SDEMPED) -- SEP 01-04, 2015 -- Guarda, PORTUGALen_US
dc.description.abstractIn this paper, detection of the stator winding inter-turn short circuit fault (SWISCF) in surface-mounted permanent magnet synchronous motors (SPMSMs) and classification of the fault severity via pattern recognition system (PRS) are presented. In order to automatically detect stator winding short circuit fault and to estimate severity of this fault, artificial neural network (ANN) based PRS has been used. It has been observed that the amplitude of the 3rd harmonics of the current is the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To increase the fault clasification accuracy of PRS both fundamental (1st) and 3rd harmonics are used. In order to validate proposed method experimental results are presented.en_US
dc.description.sponsorshipIEEE,Electromechantron Syst Res Ctr,IEEE Power Elect Soc,IEEE Ind Applicat Soc,IEEE Ind Elect Soc,Univ Beira Interior,IPGen_US
dc.identifier.endpage321en_US
dc.identifier.isbn978-1-4799-7743-7
dc.identifier.scopus2-s2.0-84959284010
dc.identifier.scopusqualityN/A
dc.identifier.startpage316en_US
dc.identifier.urihttps://hdl.handle.net/11468/20503
dc.identifier.wosWOS:000381495800047
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 Ieee 10th International Symposium on Diagnostics For Electric Machines, Power Electronics and Drives (Sdemped)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPermanent Magnet Synchronous Motorsen_US
dc.subjectPattern Recognition Systemen_US
dc.subjectFault Detectionen_US
dc.subjectCondition Monitoringen_US
dc.subjectDigital Signal Processingen_US
dc.subjectFault Severity Classificationen_US
dc.titleA New Approach to Detect Stator Fault in Permanent Magnet Synchronous Motorsen_US
dc.titleA New Approach to Detect Stator Fault in Permanent Magnet Synchronous Motors
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu