论文信息 - Reliability modelling with dynamic bayesian networks

Reliability modelling with dynamic bayesian networks

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.

Philippe Weber | Lionel Jouffe

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