Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/855
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dc.contributor.authorCekic, Yalcin-
dc.contributor.authorEren, Levent-
dc.date.accessioned2023-06-16T12:47:44Z-
dc.date.available2023-06-16T12:47:44Z-
dc.date.issued2018-
dc.identifier.issn0948-7921-
dc.identifier.issn1432-0487-
dc.identifier.urihttps://doi.org/10.1007/s00202-017-0674-4-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/855-
dc.description.abstractThe induction motor current is nonstationary by nature, and time-scale analysis techniques such as wavelet packet decomposition (WPD) are more suitable for the analysis of the stator current for broken rotor bar detection. But, WPD is very costly in terms of the computational effort when half-band FIR filter banks are used in analysis. The implementation of four-band FIR filter banks in the analysis of a phase current is proposed here to reduce the computational cost. The use of four-band FIR filter banks with FPGA implementation would also provide higher levels of parallel processing capability resulting in further reduction in computational time required for detection of broken rotor bar faults. In WPD, it is also possible to tailor the frequency band size (resolution) so that one frequency band covers all motor fault induced frequencies due to rotor speed variations. Here, the rms value for broken rotor bar fault-related frequency band is compared with the baseline data to detect any broken rotor bar faults.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofElectrıcal Engıneerıngen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInduction motorsen_US
dc.subjectBroken rotor barsen_US
dc.subjectWavelet packet decompositionen_US
dc.subjectMulti-band decompositionen_US
dc.subjectCurrent Signature Analysisen_US
dc.subjectBearing Damage Detectionen_US
dc.subjectStator Currenten_US
dc.subjectInduction Machinesen_US
dc.subjectFault-Diagnosisen_US
dc.subjectTransienten_US
dc.subjectHarmonicsen_US
dc.titleBroken rotor bar detection via four-band wavelet packet decomposition of motor currenten_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00202-017-0674-4-
dc.identifier.scopus2-s2.0-85039066544en_US
dc.departmentİzmir Ekonomi Üniversitesien_US
dc.authoridEren, Levent/0000-0002-5804-436X-
dc.authoridCekic, Yalcin/0000-0002-8920-3212-
dc.authorwosidEren, Levent/T-2245-2019-
dc.authorwosidCekic, Yalcin/AAH-2522-2019-
dc.authorscopusid57209596712-
dc.authorscopusid6603027663-
dc.identifier.volume100en_US
dc.identifier.issue3en_US
dc.identifier.startpage1957en_US
dc.identifier.endpage1962en_US
dc.identifier.wosWOS:000440282300059en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ2-
dc.identifier.wosqualityQ3-
item.grantfulltextembargo_20300101-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.dept05.06. Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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