Publication:
Fault Detection in Induction Motors With Independent Component Analysis (ICA)

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dc.authorscopusid26025602500
dc.authorscopusid22953804000
dc.authorscopusid22433630600
dc.authorscopusid24725912800
dc.authorscopusid55175753300
dc.contributor.authorGüney, I.
dc.contributor.authorKilic, E.
dc.contributor.authorÖzgönenel, O.
dc.contributor.authorUlutas, M.
dc.contributor.authorKaradeniz, E.
dc.date.accessioned2020-06-21T15:07:25Z
dc.date.available2020-06-21T15:07:25Z
dc.date.issued2009
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Güney] Irfan, Acıbadem Mehmet Ali Aydınlar Üniversitesi, Istanbul, Turkey; [Kilic] Erdal, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Özgönenel] Okan, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Ulutas] M., Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Karadeniz] Erol, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractIn this study, the aim is to detect an induction motor's winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm. The algorithm is implemente d by using MATLAB. The proposed method is compared to FFT solution to see its ability to distinguish fault currents. It has been observed that the proposed method based on ICA can efficiently be used to detect induction motors winding faults. 12345. © 2009 IEEE.en_US
dc.identifier.doi10.1109/PTC.2009.5282251
dc.identifier.endpage+en_US
dc.identifier.isbn9781424422357
dc.identifier.scopus2-s2.0-74949089529
dc.identifier.startpage2407en_US
dc.identifier.urihttps://doi.org/10.1109/PTC.2009.5282251
dc.identifier.urihttps://hdl.handle.net/20.500.12712/18822
dc.identifier.wosWOS:000276834601083
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof-- 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Futureen_US
dc.relation.journal2009 Ieee Bucharest Powertech, Vols 1-5en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFFTen_US
dc.subjectICAen_US
dc.subjectInternal Faulten_US
dc.subjectStator Faultsen_US
dc.titleFault Detection in Induction Motors With Independent Component Analysis (ICA)en_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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