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Improved damage detectability in a wind turbine blade by optimal selection of vibration signal correlation coefficients

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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.accessioned2016-12-05T10:28:13Z
dc.date.available2016-12-05T10:28:13Z
dc.date.issued2016-11
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.extent4486630
dc.identifier68286440
dc.identifierc458b71d-a19e-467d-892a-0981a86fe6b7
dc.identifier85002050738
dc.identifier.citationHoell, S & Omenzetter, P 2016, 'Improved damage detectability in a wind turbine blade by optimal selection of vibration signal correlation coefficients', Structural Health Monitoring, vol. 15, no. 6, pp. 685–705. https://doi.org/10.1177/1475921716657016en
dc.identifier.doi10.1177/1475921716657016
dc.identifier.iss6en
dc.identifier.issn1475-9217
dc.identifier.urihttp://hdl.handle.net/2164/7820
dc.identifier.urlhttp://dx.doi.org/10.1177/1475921717713843en
dc.identifier.vol15en
dc.language.isoeng
dc.relation.ispartofStructural Health Monitoringen
dc.subjectdamage detectionen
dc.subjectfast forward selectionen
dc.subjectgenetic algorithmen
dc.subjectoptimal feature selectionen
dc.subjectpartial autocorrelation functionen
dc.subjectprincipal component analysisen
dc.subjectstructural health monitoringen
dc.subjectvibration based damage detectionen
dc.subjectwind turbinesen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleImproved damage detectability in a wind turbine blade by optimal selection of vibration signal correlation coefficientsen
dc.typeJournal articleen

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