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dc.contributor.authorZhang, Hen_US
dc.contributor.authorMarsh, DWRen_US
dc.date.accessioned2017-10-27T10:17:37Z
dc.date.available2017-09-26en_US
dc.date.issued2018-10en_US
dc.date.submitted2017-10-10T12:42:53.699Z
dc.identifier.issn1748-006Xen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/28444
dc.format.extent505 - 523en_US
dc.relation.ispartofPROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITYen_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability following peer review.
dc.subjectBayesian networken_US
dc.subjectavailable dataen_US
dc.subjectexpert knowledgeen_US
dc.subjectmaintenance modellingen_US
dc.subjectdeteriorationen_US
dc.subjectGB rail bridgesen_US
dc.titleGeneric Bayesian network models for making maintenance decisions from available data and expert knowledgeen_US
dc.typeArticle
dc.rights.holder© 2017 SAGE Publications
dc.identifier.doi10.1177/1748006X17742765en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000447219800004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue5en_US
pubs.notesNot knownen_US
pubs.notesThis file is the submitted version of the paper. There were no changes after the revised submission.en_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Computer Science - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students/Faculty of Science & Engineering PGRs
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.publication-statusPublisheden_US
pubs.volume232en_US


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