Rotor Electrical Fault Detection in DFIGs Using Wide-Band Controller Signals

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dc.authoridDjurovic, Sinisa/0000-0001-7700-6492
dc.authoridTuohy, Paul Michael/0000-0001-9646-3832
dc.contributor.authorSarma, Nur
dc.contributor.authorTuohy, Paul M.
dc.contributor.authorMohammed, Anees
dc.contributor.authorDjurovic, Sinisa
dc.date.accessioned2021-12-01T18:48:44Z
dc.date.available2021-12-01T18:48:44Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis paper presents a novel study of the wide-band spectral signatures in the controller signals of doubly fed induction generators (DFIGs) for the identification of rotor electrical faults. The aim is to advance the understanding of diagnostic information obtainable from the readily available DFIG controller signals. Analytical equations defining the controller signals possible spectral contents are derived to enable characterization of spectral signatures and their correlation to operating conditions and rotor faults. The equations are verified in a DFIG harmonic model study and also validated by undertaking a range of experiments on a laboratory DFIG test-rig. It is shown that the calculated, simulated and experimental results are in good agreement with regards to representing fault induced signatures in the examined DFIG controller signals spectra. Furthermore, it is shown that wide-band rotor electrical fault related spectral signatures in the controller signals carry considerable diagnostic potential for recognition of rotor electrical faults.en_US
dc.description.sponsorshipUK Engineering and Physical Sciences Research Council HOME-Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms Consortium [EP/P009743/1]en_US
dc.description.sponsorshipThis work was supported by the UK Engineering and Physical Sciences Research Council HOME-Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms Consortium under Grant EP/P009743/1.en_US
dc.identifier.doi10.1109/TSTE.2020.3014446
dc.identifier.endpage633en_US
dc.identifier.issn1949-3029
dc.identifier.issn1949-3037
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85098276892en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage623en_US
dc.identifier.urihttps://doi.org/10.1109/TSTE.2020.3014446
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10595
dc.identifier.volume12en_US
dc.identifier.wosWOS:000599507600057en_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 Sustainable Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRotorsen_US
dc.subjectDoubly fed induction generatorsen_US
dc.subjectStatorsen_US
dc.subjectMathematical modelen_US
dc.subjectFault detectionen_US
dc.subjectHarmonic analysisen_US
dc.subjectCondition monitoringen_US
dc.subjectdoubly fed induction generatoren_US
dc.subjectharmonic machine modelen_US
dc.subjectrotor electrical faulten_US
dc.subjectsignature analysisen_US
dc.subjectSimulinken_US
dc.subjectwind turbineen_US
dc.subjectSignature Analysisen_US
dc.subjectWind Turbinesen_US
dc.subjectWound-Rotoren_US
dc.subjectDiagnosisen_US
dc.subjectPerformanceen_US
dc.subjectGeneratorsen_US
dc.subjectStabilityen_US
dc.titleRotor Electrical Fault Detection in DFIGs Using Wide-Band Controller Signalsen_US
dc.typeArticleen_US

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