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dc.contributor.authorBull, LA
dc.contributor.authorGardner, PA
dc.contributor.authorGosliga, J
dc.contributor.authorRogers, TJ
dc.contributor.authorDervilis, N
dc.contributor.authorCross, EJ
dc.contributor.authorPapatheou, E
dc.contributor.authorMaguire, AE
dc.contributor.authorCampos, C
dc.contributor.authorWorden, K
dc.date.accessioned2020-08-17T10:54:07Z
dc.date.issued2020-08-14
dc.description.abstractIn Structural Health Monitoring (SHM), measured data that correspond to an extensive set of operational and damage conditions (for a given structure) are rarely available. One potential solution considers that information might be transferred, in some sense, between similar systems. A population-based approach to SHM looks to both model and transfer this missing information, by considering data collected from groups of similar structures. Specifically, in this work, a framework is proposed to model a population of nominally-identical systems, such that (complete) datasets are only available from a subset of members. The SHM strategy defines a general model, referred to as the population form, which is used to monitor a homogeneous group of systems. First, the framework is demonstrated through applications to a simulated population, with one experimental (test-rig) member; the form is then adapted and applied to signals recorded from an operational wind farm.en_GB
dc.identifier.citationVol. 148, 107141en_GB
dc.identifier.doi10.1016/j.ymssp.2020.107141
dc.identifier.urihttp://hdl.handle.net/10871/122493
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectPopulation-based structural health monitoringen_GB
dc.subjectPattern recognitionen_GB
dc.subjectWind turbine monitoringen_GB
dc.titleFoundations of population-based SHM, Part I: Homogeneous populations and formsen_GB
dc.typeArticleen_GB
dc.date.available2020-08-17T10:54:07Z
dc.identifier.issn0888-3270
exeter.article-number107141en_GB
dc.descriptionThis is the final version. Available from the publisher via the DOI in this record.en_GB
dc.identifier.journalMechanical Systems and Signal Processingen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-07-15
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-08-14
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-08-17T10:50:47Z
refterms.versionFCDVoR
refterms.dateFOA2020-08-17T10:54:13Z
refterms.panelBen_GB


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© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).