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dc.contributor.authorBABYKINA, Génia
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCOUALLIER, Vincent
dc.contributor.editorNikulin
dc.contributor.editorM. S. and Limnios
dc.contributor.editorN. and Balakrishnan
dc.contributor.editorN. and Kahle
dc.contributor.editorW. and Huber-Carol
dc.contributor.editorC.
dc.date.accessioned2024-04-04T02:18:35Z
dc.date.available2024-04-04T02:18:35Z
dc.date.created2010
dc.date.issued2010
dc.identifier.isbn978-0-8176-4923-4
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189328
dc.description.abstractEnThe objective of the work is to model the failure process of a repairable system under "worse than old", or harmful repairs, assumption. The proposed model is founded on the counting process probabilistic approach and interprets harmful repairs as the accumulation of failures on the same system. Increase in the conditional intensity is rather induced by the number of previous repair actions than by time contrarily to virtual age models. The LEYP model is defined and some comparison with existing imperfect repair models is given. The explicit form of likelihood function is provided. A covariate-dependent model is defined in order to take the effect of internal or external factors, which may be constant or time dependent, into account. After a description of the estimation procedure for left-truncated and right-censored data using a multiple systems data set, we provide some useful formulae for prediction of the number of failures in a future period. An application to data from the water distribution system of the city of Oslo (Norway) is given.
dc.language.isoen
dc.publisherBirkhäuser Boston
dc.source.titleAdvances in Degradation Modeling
dc.subject.encounting processes
dc.subject.enrepairable systems
dc.subject.enrecurrent events
dc.subject.entime-dependent covariates
dc.title.enModelling Recurrent Events for Repairable Systems Under Worse Than Old Assumption
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-0-8176-4924-1_22
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.pagepp 339-354
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.title.proceedingAdvances in Degradation Modeling
hal.identifierhal-00968110
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00968110v1
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