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Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades

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dc.contributor.authorHoell, Simon
dc.contributor.authorOmenzetter, Piotr
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.date.accessioned2017-03-02T00:30:32Z
dc.date.available2017-03-02T00:30:32Z
dc.date.embargoedUntil2017-03-01
dc.date.issued2016-03
dc.descriptionPiotr Omenzetter and Simon Hoell's work within the Lloyd's Register Foundation Centre for Safety and Reliability Engineering at the University of Aberdeen is supported by Lloyd’s Register Foundation. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research.en
dc.description.statusPeer revieweden
dc.format.extent21
dc.format.extent1270709
dc.identifier55792444
dc.identifier79aabf6d-6e39-4d54-af72-0bd7b1efb2df
dc.identifier84961188135
dc.identifier.citationHoell, S & Omenzetter, P 2016, 'Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades', Mechanical Systems and Signal Processing, vol. 70-71, pp. 557-577. https://doi.org/10.1016/j.ymssp.2015.09.007en
dc.identifier.doi10.1016/j.ymssp.2015.09.007
dc.identifier.issn0888-3270
dc.identifier.otherORCID: /0000-0001-9363-4878/work/21357343
dc.identifier.urihttp://hdl.handle.net/2164/8254
dc.identifier.vol70en
dc.language.isoeng
dc.relation.ispartofMechanical Systems and Signal Processingen
dc.subjectautoregressive modelsen
dc.subjectdamage detectionen
dc.subjecthypothesis testingen
dc.subjectoptimal feature selectionen
dc.subjecttime seriesen
dc.subjectwind turbineen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleOptimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine bladesen
dc.typeJournal articleen

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