A new method for early fault detection and diagnosis of broken rotor bars

dc.contributor.authorAydin, Ilhan
dc.contributor.authorKarakose, Mehmet
dc.contributor.authorAkin, Erhan
dc.date.accessioned2026-08-12T17:46:11Z
dc.date.issued2011
dc.departmentFırat Üniversitesi
dc.description.abstractA new method has been developed for the detection and diagnosis of broken rotor bars faults in three-phase induction motors under no-load conditions. Early detection of faults is made by using a sliding window constructed by Hilbert transforms of one of the phases of the thee-phase currents and the size of a fault is diagnosed by motor current signature analysis (MCSA) of the stored Hilbert transforms of several periods of one-phase current. The information entropy of a symbol tree generated by each sliding window is used as a fault index. The method was tested using healthy and damaged 0.37 kW induction motors under no-load conditions with applied voltages ranging from 220 V to 380 V. One and two broken rotor bars were detected under no-load conditions when supply voltages were 260 V and above. The results indicate that the method yields a high degree of accuracy in fault identification. (C) 2010 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey) [109E105]
dc.description.sponsorshipThis work was supported by the TUBITAK (The Scientific and Technological Research Council of Turkey) under Grant No: 109E105.
dc.identifier.doi10.1016/j.enconman.2010.11.018
dc.identifier.endpage1799
dc.identifier.issn0196-8904
dc.identifier.issn1879-2227
dc.identifier.issue4
dc.identifier.orcid0000-0002-3276-3788
dc.identifier.scopus2-s2.0-78650740088
dc.identifier.scopusqualityQ1
dc.identifier.startpage1790
dc.identifier.urihttps://doi.org/10.1016/j.enconman.2010.11.018
dc.identifier.urihttps://hdl.handle.net/11508/60975
dc.identifier.volume52
dc.identifier.wosWOS:000287555700004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEnergy Conversion and Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectMotor current signature analysis
dc.subjectFault diagnosis
dc.subjectSliding window
dc.subjectHilbert transform
dc.subjectInduction motors
dc.titleA new method for early fault detection and diagnosis of broken rotor bars
dc.typeArticle

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