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Damage severity assessment of a laboratory wind turbine blade using virus optimisation algorithm

dc.contributor.authorTurnbull, Heather
dc.contributor.authorOmenzetter, Piotr
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.date.accessioned2019-09-27T15:00:35Z
dc.date.available2019-09-27T15:00:35Z
dc.date.issued2018-07
dc.description.statusPeer revieweden
dc.format.extent912395
dc.identifier147824249
dc.identifierdf5850b7-6b64-430d-b5f5-afe476f3aa6e
dc.identifier85070870372
dc.identifier.citationTurnbull, H & Omenzetter, P 2018, 'Damage severity assessment of a laboratory wind turbine blade using virus optimisation algorithm', Paper presented at 9th European Workshop on Structural Health Monitoring, EWSHM 2018, Manchester, United Kingdom, 10/07/18 - 13/07/18. < https://www.ndt.net/search/docs.php3?showForm=off&id=23278 >en
dc.identifier.citationconferenceen
dc.identifier.urihttp://hdl.handle.net/2164/13013
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85070870372&partnerID=8YFLogxKen
dc.identifier.urlhttps://www.ndt.net/search/docs.php3?showForm=off&id=23278en
dc.language.isoeng
dc.subjectprobability of detectionen
dc.subjectdetection systemsen
dc.subjectvibration analysis and testingen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectCivil and Structural Engineeringen
dc.subjectArchitectureen
dc.subject.lccTAen
dc.titleDamage severity assessment of a laboratory wind turbine blade using virus optimisation algorithmen
dc.typeConference paperen

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