Reliability modelling with dynamic bayesian networks
Résumé
Nowadays, the complex manufacturing processes have to be dynamically modelled and controlled to optimise the diagnosis and the maintenance strategies. The work reported here presents a methodology for developing Dynamic Bayesian Networks (DBN) to formalise such complex dynamic models. A small valve system is used to compare the reliability estimations obtained by the proposed DBN model and those obtained by the classical Markov Chain.
Domaines
Automatique
Origine : Fichiers produits par l'(les) auteur(s)
Loading...