DFIG current and controller signals' angular shaft misalignment signature - an experimental case study

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dc.contributor.authorWang, Yingzhao
dc.contributor.authorSarma, Nur
dc.contributor.authorMohammed, Anees
dc.contributor.authorDjurovic, Sinisa
dc.date.accessioned2021-12-01T18:47:46Z
dc.date.available2021-12-01T18:47:46Z
dc.date.issued2020
dc.department[Belirlenecek]en_US
dc.descriptionInternational Conference on Electrical Machines (ICEM) -- AUG 23-26, 2020 -- ELECTR NETWORKen_US
dc.description.abstractwith the continuous increase in wind turbine generator size the monitoring and diagnosis of drive train shaft misalignment is of growing importance, as this condition contributes to as much as 30% of turbine's downtime. Machine current signature analysis has been widely investigated in conventional machinery as a non-invasive diagnostic tool for shaft misalignment, via spectrum analysis of the stator current signal. This paper reports a practical case study of misalignment fault signature manifestation in the doubly-fed induction generator (DFIG) controller signals spectra, with a view to assessing the feasibility of low cost and non-invasive controller signal analysis based misalignment diagnosis. The study employs a laboratory test rig to undertake a series of tests to analyze the sensitivity of controller signals to a specific angular misalignment condition, and hence evaluate and characterize the manifestation of its spectral signatures.en_US
dc.description.sponsorshipInst Elect & Elect Engineers, IEEE Ind Elect Socen_US
dc.description.sponsorshipUK 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.sponsorshipFThis work was supported by the UK 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.)en_US
dc.identifier.endpage1327en_US
dc.identifier.isbn978-1-7281-9945-0
dc.identifier.startpage1321en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10372
dc.identifier.wosWOS:000635705300195en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2020 International Conference On Electrical Machines (Icem), Vol 1en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCondition monitoringen_US
dc.subjectDFIG shaft misalignmenten_US
dc.subjectangular misalignmenten_US
dc.subjectmotor current signature analysis (MCSA)en_US
dc.subjectcontrol signals signature analysisen_US
dc.titleDFIG current and controller signals' angular shaft misalignment signature - an experimental case studyen_US
dc.typeConference Objecten_US

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