Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33230
DC FieldValueLanguage
dc.contributor.authorPanagiotou, P. A.-
dc.contributor.authorArvanitakis, I.-
dc.contributor.authorLophitis, Neophytos-
dc.contributor.authorGyftakis, K. N.-
dc.date.accessioned2024-11-29T10:36:29Z-
dc.date.available2024-11-29T10:36:29Z-
dc.date.issued2018-10-25-
dc.identifier.citation23rd International Conference on Electrical Machines, ICEM, 2018, pp. 1861 - 1867en_US
dc.identifier.isbn9781538624777-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/33230-
dc.description.abstractThe wide range of applications using induction machines has been enhanced with the rapid evolution of condition monitoring and variable speed drives. The latter two, along with their constantly growing demands, have raised the necessity of new approaches and techniques in fault diagnostics. A reliable solution to this matter, has proven to be the monitoring of stray magnetic flux. Accounted for in different locations on the machine's peripheral area and with different measurement techniques, the stray flux provides valuable information for fault detection and identification. This paper aims to apply one of these diagnostic strategies and the related measurement of stray flux using FEM, to evaluate its performance and diagnostic capability on two machines of different size and power rating and conclude on the quantitative effectiveness of such strategies.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCondition monitoringen_US
dc.subjectFlux sensorsen_US
dc.subjectInduction machinesen_US
dc.subjectStray fluxen_US
dc.titleFEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysisen_US
dc.typeConference Papersen_US
dc.collaborationCoventry Universityen_US
dc.journalsSubscriptionen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conference23rd International Conference on Electrical Machinesen_US
dc.identifier.doi10.1109/ICELMACH.2018.8506707en_US
dc.identifier.scopus2-s2.0-85057189067-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85057189067-
cut.common.academicyear2018-2019en_US
dc.identifier.spage1861en_US
dc.identifier.epage1867en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-0901-0876-
crisitem.author.parentorgFaculty of Engineering and Technology-
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