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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.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.otherPURE: 49257904
dc.identifier.otherPURE UUID: e26c76a4-4bb6-468b-ab14-dc6300a556fe
dc.identifier.otherScopus: 35548971146
dc.identifier.urihttp://hdl.handle.net/2164/4834
dc.format.extent12
dc.language.isoeng
dc.publisherSPIE
dc.relation.ispartofSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007en
dc.rightsCopyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en
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.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1117/12.715853


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