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Identification of unusual events in multi-channel bridge monitoring data using wavelet transform and outlier analysis

dc.contributor.authorOmenzetter, P.
dc.contributor.authorBrownjohn, J.M.W.
dc.contributor.authorMoyo, P.
dc.date.accessioned2020-04-13T09:40:11Z
dc.date.available2020-04-13T09:40:11Z
dc.date.issued2003-03-01
dc.identifier47077702
dc.identifierb70183c6-cc23-413e-a635-6d200bfb86ea
dc.identifier0242636131
dc.identifier.citationOmenzetter , P , Brownjohn , J M W & Moyo , P 2003 , Identification of unusual events in multi-channel bridge monitoring data using wavelet transform and outlier analysis . in Proceedings of SPIE’s 10th Annual International Symposium on Smart Structures and Materials/SPIE’s 8th Annual International Symposium on NDE for Health Monitoring and Diagnostics . vol. 5057 , pp. 157-168 . https://doi.org/10.1117/12.484640en
dc.identifier.urihttps://hdl.handle.net/2164/14042
dc.format.extent12
dc.format.extent374554
dc.language.isoeng
dc.relation.ispartofProceedings of SPIE’s 10th Annual International Symposium on Smart Structures and Materials/SPIE’s 8th Annual International Symposium on NDE for Health Monitoring and Diagnosticsen
dc.titleIdentification of unusual events in multi-channel bridge monitoring data using wavelet transform and outlier analysisen
dc.typeBook itemen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.description.statusPeer revieweden
dc.identifier.doi10.1117/12.484640
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=0242636131&partnerID=8YFLogxKen


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