Foundations of population-based SHM, Part I: Homogeneous populations and forms
dc.contributor.author | Bull, LA | |
dc.contributor.author | Gardner, PA | |
dc.contributor.author | Gosliga, J | |
dc.contributor.author | Rogers, TJ | |
dc.contributor.author | Dervilis, N | |
dc.contributor.author | Cross, EJ | |
dc.contributor.author | Papatheou, E | |
dc.contributor.author | Maguire, AE | |
dc.contributor.author | Campos, C | |
dc.contributor.author | Worden, K | |
dc.date.accessioned | 2020-08-17T10:54:07Z | |
dc.date.issued | 2020-08-14 | |
dc.description.abstract | In 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.citation | Vol. 148, 107141 | en_GB |
dc.identifier.doi | 10.1016/j.ymssp.2020.107141 | |
dc.identifier.uri | http://hdl.handle.net/10871/122493 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_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.subject | Population-based structural health monitoring | en_GB |
dc.subject | Pattern recognition | en_GB |
dc.subject | Wind turbine monitoring | en_GB |
dc.title | Foundations of population-based SHM, Part I: Homogeneous populations and forms | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-08-17T10:54:07Z | |
dc.identifier.issn | 0888-3270 | |
exeter.article-number | 107141 | en_GB |
dc.description | This is the final version. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Mechanical Systems and Signal Processing | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-07-15 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-08-14 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-08-17T10:50:47Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-08-17T10:54:13Z | |
refterms.panel | B | en_GB |
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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/).