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Offline and online detection of damage using autoregressive models and artificial neural networks

dc.contributor.authorOmenzetter, Piotr
dc.contributor.authorDe Lautour, Oliver
dc.contributor.editorTomizuka, Masayoshi
dc.contributor.editorYun, Chung-Ban
dc.contributor.editorGiurgiutiu, Victor
dc.date.accessioned2015-08-17T10:13:02Z
dc.date.available2015-08-17T10:13:02Z
dc.date.issued2007-04-30
dc.identifier49257904
dc.identifiere26c76a4-4bb6-468b-ab14-dc6300a556fe
dc.identifier35548971146
dc.identifier.citationOmenzetter , P & De Lautour , O 2007 , Offline and online detection of damage using autoregressive models and artificial neural networks . in M Tomizuka , C-B Yun & V Giurgiutiu (eds) , Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007 : Proceedings of SPIE . vol. 6529 , 65292N , SPIE . https://doi.org/10.1117/12.715853en
dc.identifier.isbn9780819466501
dc.identifier.urihttp://hdl.handle.net/2164/4834
dc.format.extent12
dc.format.extent9814829
dc.language.isoeng
dc.publisherSPIE
dc.relation.ispartofSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007en
dc.subjectT Technologyen
dc.subject.lccTen
dc.titleOffline and online detection of damage using autoregressive models and artificial neural networksen
dc.typeBook itemen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.description.statusPeer revieweden
dc.identifier.doi10.1117/12.715853


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