Diagnosis of Broken Rotor Bar Faults by Using Frequency Spectrum of Stator Current Envelope

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dc.contributor.authorArabaci, Hayri
dc.contributor.authorBilgin, Osman
dc.date.accessioned2020-03-26T18:24:50Z
dc.date.available2020-03-26T18:24:50Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description20th International Conference on Electrical Machines (ICEM) -- SEP 02-05, 2012 -- Marseille, FRANCEen_US
dc.description.abstractThe paper presents squirrel cage induction motor rotor bar faults detection and classification by using stator current envelope at steady state operation. One of the stator currents has been used in the investigating of effects of rotor faults on the current envelopes. Fluctuations of the envelope were used as features of faults conditions for diagnosis. For feature extraction, frequency spectrum of the envelope of current was obtained by fast Fourier Transform (FFT). Significant picks in the spectrum were used to discern "healthy" and "faulty" motor conditions. The motor conditions were classified by Artificial Neural Network (ANN). In experiments three different rotor faults and healthy motor conditions were investigated by 30 HP, 8 '', with 18 bars, 380V, 2 poles and 50 Hz squirrel cage submersible induction motor. The proposed decision structure detects and classifies rotor bar faults with 100% accuracy.en_US
dc.description.sponsorshipIEEE Ind Elect Soc, IEEE Ind Applicat Soc, IEEE Power & Energy Soc, IEEE France Sect, Inst Engn & Technolen_US
dc.identifier.endpage1646en_US
dc.identifier.isbn978-1-4673-0142-8
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1643en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27913
dc.identifier.wosWOS:000333806701095en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2012 XXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectBroken rotor baren_US
dc.subjectfault diagnosisen_US
dc.subjectinduction motorsen_US
dc.subjectFast Fourier Transformen_US
dc.subjectArtificial Neural Networken_US
dc.subjectstator current envelopeen_US
dc.titleDiagnosis of Broken Rotor Bar Faults by Using Frequency Spectrum of Stator Current Envelopeen_US
dc.typeConference Objecten_US

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