Digital twins for design in the presence of uncertainties

cam.depositDate2022-05-29
cam.issuedOnline2022-05-28
dc.contributor.authorYang, J
dc.contributor.authorLangley, RS
dc.contributor.authorAndrade, L
dc.contributor.orcidYang, J [0000-0001-8323-7406]
dc.contributor.orcidAndrade, L [0000-0003-0679-9354]
dc.date.accessioned2022-05-30T23:30:30Z
dc.date.available2022-05-30T23:30:30Z
dc.date.issued2022
dc.date.updated2022-05-29T20:08:07Z
dc.description.abstractSuccessful application of digital twins in the design process requires a tailored approach to identify high value information from the uncertain data. We propose a non-intrusive sensitivity metric toolbox that integrates black-box digital twins in the design and decision process under uncertainties. The toolbox captures the evolving nature of the key design performance indicators (KPI) and provide both KPI-free and KPI-based metrics. The KPI-free metrics, which are based on entropy and Fisher information but independent of design KPIs, is shown to give good indication of the most influential data for KPI-based metrics. This suggests a consistent identification of high value data throughout the design process.
dc.identifier.doi10.17863/CAM.85031
dc.identifier.eissn1096-1216
dc.identifier.issn0888-3270
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337624
dc.publisherElsevier BV
dc.publisher.departmentDepartment of Engineering
dc.publisher.urlhttp://dx.doi.org/10.1016/j.ymssp.2022.109338
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectDesign sensitivity toolbox
dc.subjectDesign key performance indicator
dc.subjectDesign entropy
dc.subjectFisher information
dc.subjectProbability of acceptance
dc.subjectLikelihood ratio method
dc.titleDigital twins for design in the presence of uncertainties
dc.typeArticle
dcterms.dateAccepted2022-05-20
prism.endingPage109338
prism.number109338
prism.publicationDate2022
prism.publicationNameMechanical Systems and Signal Processing
prism.startingPage109338
prism.volume179
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R006768/1)
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
pubs.licence-identifierapollo-deposit-licence-2-1
rioxxterms.typeJournal Article/Review
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1016/j.ymssp.2022.109338
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