Stator Electrical Fault Detection in DFIGs Using Wide-Band Analysis of the Embedded Signals From the Controllers

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dc.authoridTuohy, Paul Michael/0000-0001-9646-3832
dc.authoridDjurovic, Sinisa/0000-0001-7700-6492
dc.contributor.authorSarma, Nur
dc.contributor.authorTuohy, Paul M.
dc.contributor.authorDjurovic, Sinisa
dc.date.accessioned2021-12-01T18:47:56Z
dc.date.available2021-12-01T18:47:56Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis article presents a novel study of stator electrical faults detection using the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs). The possible wide-band spectral content of the controller signals are first defined with a set of analytical equations in order to characterize the wide-band spectral signatures and their correlation to operating conditions including stator electrical faults. A DFIG harmonic model and laboratory test-rig are used to validate the derived equations. The calculated, simulated and experimental results are in good agreement. Furthermore, it is shown that the wide-band stator electrical fault related spectral signatures carry considerable diagnostic potential for recognition of stator electrical faults, and therefore, can potentially be used to advance controller embedded fault detection techniques.en_US
dc.description.sponsorshipU.K. Engineering and Physical Sciences Research Council (EPSRC) HOME-Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms ConsortiumUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P009743/1]en_US
dc.description.sponsorshipThis work was supported by the U.K. Engineering and Physical Sciences Research Council (EPSRC) HOME-Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms Consortium under Grant EP/P009743/1. Paper no. TEC-00044-2020.en_US
dc.identifier.doi10.1109/TEC.2020.3017443
dc.identifier.endpage811en_US
dc.identifier.issn0885-8969
dc.identifier.issn1558-0059
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85107015224en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage800en_US
dc.identifier.urihttps://doi.org/10.1109/TEC.2020.3017443
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10414
dc.identifier.volume36en_US
dc.identifier.wosWOS:000652806800022en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions On Energy Conversionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStatorsen_US
dc.subjectDoubly fed induction generatorsen_US
dc.subjectRotorsen_US
dc.subjectFrequency controlen_US
dc.subjectFault detectionen_US
dc.subjectHarmonic analysisen_US
dc.subjectMathematical modelen_US
dc.subjectCondition monitoringen_US
dc.subjectdoubly fed induction generatoren_US
dc.subjecthigh-resistance connectionen_US
dc.subjectstator faulten_US
dc.subjectsignature analysisen_US
dc.subjectwind power generationen_US
dc.subjectwind turbineen_US
dc.subjectFed Induction Generatorsen_US
dc.subjectWound-Rotoren_US
dc.subjectDiagnosisen_US
dc.subjectAsymmetryen_US
dc.subjectMachineen_US
dc.subjectMotorsen_US
dc.titleStator Electrical Fault Detection in DFIGs Using Wide-Band Analysis of the Embedded Signals From the Controllersen_US
dc.typeArticleen_US

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