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Search Coil-Based Detection of Nonadjacent Rotor Bar Damage in Squirrel Cage Induction Motors

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dc.contributor.authorPark, Yonghyun-
dc.contributor.authorChoi, Hanchun-
dc.contributor.authorLee, Sang Bin-
dc.contributor.authorGyftakis, Konstantinos N.-
dc.date.accessioned2021-08-30T15:10:01Z-
dc.date.available2021-08-30T15:10:01Z-
dc.date.created2021-06-19-
dc.date.issued2020-09-
dc.identifier.issn0093-9994-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/53252-
dc.description.abstractDetection of rotor cage faults in induction motors based on motor current signature analysis (MCSA) is being extensively applied in the field for preventing forced outage of the motor and industrial process. Although MCSA is very effective for detecting broken bars that are adjacent to each other, it can fail if the broken bars are nonadjacent, which is common for applications with frequent starts. If multiple broken bars are spread out at locations where the rotor "electrical" asymmetry is canceled, the presence of broken bars is difficult to detect with MCSA. A false indication can lead to a catastrophic-forced outage, but the only known means of detecting this type of fault in the field is through rotor visual inspection. In this article, the feasibility of detecting nonadjacent broken rotor bars from the rotor rotational frequency sideband components in the internal and external search coil measurements during steady state and motor starting is evaluated. Experimental testing on a 7.5-hp induction motor shows that nonadjacent broken bars can be reliably detected from the analysis of flux measurements for cases where MCSA and all other electrical tests fail.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSIGNATURE ANALYSIS-
dc.subjectTRANSIENT ANALYSIS-
dc.subjectRELIABLE DETECTION-
dc.subjectFAULT-DETECTION-
dc.subjectDIAGNOSIS-
dc.subjectFAILURES-
dc.subjectMCSA-
dc.titleSearch Coil-Based Detection of Nonadjacent Rotor Bar Damage in Squirrel Cage Induction Motors-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Sang Bin-
dc.identifier.doi10.1109/TIA.2020.3000461-
dc.identifier.scopusid2-s2.0-85091768144-
dc.identifier.wosid000571821000015-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, v.56, no.5, pp.4748 - 4757-
dc.relation.isPartOfIEEE TRANSACTIONS ON INDUSTRY APPLICATIONS-
dc.citation.titleIEEE TRANSACTIONS ON INDUSTRY APPLICATIONS-
dc.citation.volume56-
dc.citation.number5-
dc.citation.startPage4748-
dc.citation.endPage4757-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusSIGNATURE ANALYSIS-
dc.subject.keywordPlusTRANSIENT ANALYSIS-
dc.subject.keywordPlusRELIABLE DETECTION-
dc.subject.keywordPlusFAULT-DETECTION-
dc.subject.keywordPlusDIAGNOSIS-
dc.subject.keywordPlusFAILURES-
dc.subject.keywordPlusMCSA-
dc.subject.keywordAuthorRotors-
dc.subject.keywordAuthorBars-
dc.subject.keywordAuthorInduction motors-
dc.subject.keywordAuthorReliability-
dc.subject.keywordAuthorMonitoring-
dc.subject.keywordAuthorSensors-
dc.subject.keywordAuthorStator windings-
dc.subject.keywordAuthorAirgap flux-
dc.subject.keywordAuthorfault diagnostics-
dc.subject.keywordAuthorinduction motor-
dc.subject.keywordAuthoroffline testing-
dc.subject.keywordAuthorsearch coil-
dc.subject.keywordAuthorspectral analysis-
dc.subject.keywordAuthorsquirrel cage rotor-
dc.subject.keywordAuthorstarting transient-
dc.subject.keywordAuthorstray flux-
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