Statistical modelling of wear and damage trajectories of railway wheelsets

dc.contributor.authorAndrade, A. R.
dc.contributor.authorStow, J.
dc.date.accessioned2016-12-14T17:13:23Z
dc.date.available2016-12-14T17:13:23Z
dc.date.issued2016
dc.date.updated2019-04-10T09:53:47Z
dc.description.abstractThis paper discusses the use of linear mixed models and generalized linear mixed models to predict the wear and damage trajectories of railway wheelsets for a fleet of modern multiple unit trains. The wear trajectory is described by the evolution of the wheel flange thickness, the flange height and the tread diameter, whereas the damage trajectory is assessed through the probabilities of various types of wheel tread damage such as rolling contact fatigue, wheel flats and cavities occurring. Different model specifications are compared based on an information criterion.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.distributionInternacionalpor
dc.identifier.doi10.1002/qre.1977
dc.identifier.issn0748-8017
dc.identifier.urihttp://hdl.handle.net/10071/12266
dc.journalQuality and Reliability Engineering International
dc.language.isoeng
dc.number8
dc.pagination2909 - 2923
dc.peerreviewedyes
dc.publicationstatusPublicadopor
dc.publisherWiley
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147442/PT
dc.rightsopen accesspor
dc.subjectWheel degradationeng
dc.subjectWeareng
dc.subjectDamageeng
dc.subjectGeneralized linear mixed modeleng
dc.subjectRailwayseng
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.titleStatistical modelling of wear and damage trajectories of railway wheelsetseng
dc.typearticle
dc.volume32
degois.publication.firstPage2909
degois.publication.issue8
degois.publication.lastPage2923
degois.publication.titleStatistical modelling of wear and damage trajectories of railway wheelsetseng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-84961777996
iscte.alternateIdentifiers.wosWOS:000393310400023
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-28933

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