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dc.contributor.authorCibulka, Jaroslav
dc.contributor.authorEbbesen, Morten K.
dc.contributor.authorHovland, Geir
dc.contributor.authorRobbersmyr, Kjell G.
dc.contributor.authorHansen, Michael R.
dc.date.accessioned2013-01-31T09:12:47Z
dc.date.available2013-01-31T09:12:47Z
dc.date.issued2012
dc.identifier.citationCibulka, J., Ebbesen, M. K., Hovland, G., Robbersmyr, K. G., & Hansen, M. R. (2012). A review on approaches for condition based maintenance in applications with induction machines located offshore. Modeling, Identification and Control, 33(2), 69-86. doi: 10.4173/mic.2012.2.4no_NO
dc.identifier.issn0332-7353
dc.identifier.urihttp://hdl.handle.net/11250/136918
dc.descriptionPublished version of an article in the journal: Modeling, Identification and Control. Also available from the publisher at: http://dx.doi.org/10.4173/mic.2012.2.4 Open accessno_NO
dc.description.abstractThis paper presents a review of different approaches for Condition Based Maintenance (CBM) of induction machines and drive trains in offshore applications. The paper contains an overview of common failure modes, monitoring techniques, approaches for diagnostics, and an overview of typical maintenance actions. Although many papers have been written in this area before, this paper puts an emphasis on recent developments and limits the scope to induction machines and drive trains applied in applications located offshore.no_NO
dc.language.isoengno_NO
dc.publisherNorwegian Society of Automatic Controlno_NO
dc.subjectcondition monitoringno_NO
dc.subjectsignal processingno_NO
dc.subjectdiagnosticsno_NO
dc.subjectprognosticsno_NO
dc.subjectinduction machineno_NO
dc.subjectbearingno_NO
dc.subjectgearboxno_NO
dc.subjectdrivetrainno_NO
dc.subjectwind turbineno_NO
dc.titleA review on approaches for condition based maintenance in applications with induction machines located offshoreno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Technology: 500no_NO
dc.source.pagenumber69-86no_NO
dc.source.volume33no_NO
dc.source.journalModeling, Identification and Controlno_NO
dc.source.issue2no_NO
dc.identifier.doi10.4173/mic.2012.2.4


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