Discriminating of Rotor Fault and Low Frequency Load Torque Oscillation Using Motor Square Current Signature Analysis

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dc.authoridGöktaş, Taner/0000-0002-8218-3239
dc.authoridGoktas, Taner/0000-0002-8218-3239
dc.authoridArkan, Muslum/0000-0001-5313-2400
dc.authorwosidGöktaş, Taner/GXV-9179-2022
dc.authorwosidGoktas, Taner/ABG-9388-2020
dc.authorwosidArkan, Muslum/A-5114-2016
dc.contributor.authorGoktas, Taner
dc.contributor.authorArkan, Muslum
dc.date.accessioned2024-08-04T20:45:32Z
dc.date.available2024-08-04T20:45:32Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.description13th International Conference on Electrical Machines (ICEM) -- SEP 03-06, 2018 -- Alexandroupoli, GREECEen_US
dc.description.abstractThis paper proposes a method to discern broken bar rotor fault from low frequency load torque oscillation in induction motors. If a motor is subjected to load fluctuation, the sideband components show up in phase current and they can exhibit similar behavior that of broken bar which leads misleading diagnostics. Thus, broken rotor bar and load oscillation related harmonics may sometimes overlap in the same spot. In this study, Motor Square Current Signature Analysis (MSCSA) method is used to detect broken rotor bar fault when load torque oscillation frequency overlaps with that of broken bar fault. This method is quite simple, but effective for false positive indication. The 2D-FEM simulations and experiments are carried out to prove the efficacy of proposed method. Based on the presented results, it is shown that broken bar related signatures such as 4f(s)-2ksf(s) do exist, whereas there is no load oscillation related signatures at the sidebands of 4f(s) in the square of phase current spectrum.en_US
dc.description.sponsorshipInt Conf Elect Machines Assoc,IEEE Ind Applicat Soc,IEEE Ind Elect Soc,Democritus Univ Thrace, Dept Elect & Comp Engn,Minist Environm & Energyen_US
dc.identifier.endpage2370en_US
dc.identifier.isbn978-1-5386-2477-7
dc.identifier.scopus2-s2.0-85057142949en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2365en_US
dc.identifier.urihttps://hdl.handle.net/11616/98544
dc.identifier.wosWOS:000542969300349en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 Xiii 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.subjectBroken rotor baren_US
dc.subjectfault diagnosisen_US
dc.subjectfault detectionen_US
dc.subjectload torque oscillationen_US
dc.subjectMCSAen_US
dc.subjectMSCSA methoden_US
dc.titleDiscriminating of Rotor Fault and Low Frequency Load Torque Oscillation Using Motor Square Current Signature Analysisen_US
dc.typeConference Objecten_US

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