Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention
Identifieur interne : 000855 ( France/Analysis ); précédent : 000854; suivant : 000856Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention
Auteurs : Roland Donat [France]Source :
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English descriptors
Abstract
Rail networks are prone to degradations of their railtrack that directly impact the commercial service. Therefore, maintenance policies are implemented in order to limit the loss of network quality and avaibility. This thesis proposes a generic modelling for these policies based on the reliability, using Bayesian Network (BN) formalism. The system reliability is captured by dedicated dynamic BN, allowing to take in account the sojorn-time in each system state (semi-markovian assumptiun). The diagnostic tools and the maintenance actions are also represented to accurately describe complex strategies. The consideration of the utility associated to each model ,attribute (availabiblity/security/cost) enables to evaluate innovative predictive maintenance policies. This methodology is applied to the RATP RER network to deal with the rail break prevention problem.
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Hal:tel-00474389Le document en format XML
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Therefore, maintenance policies are implemented in order to limit the loss of network quality and avaibility. This thesis proposes a generic modelling for these policies based on the reliability, using Bayesian Network (BN) formalism. The system reliability is captured by dedicated dynamic BN, allowing to take in account the sojorn-time in each system state (semi-markovian assumptiun). The diagnostic tools and the maintenance actions are also represented to accurately describe complex strategies. The consideration of the utility associated to each model ,attribute (availabiblity/security/cost) enables to evaluate innovative predictive maintenance policies. 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