Dynamic Bayesian Networks modelling the dependability of systems with degradations and exogenous constraints

Philippe Weber (1) , Lionel Jouffe (2) , Paul Munteanu (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 BAYESIA - Centre de Recherche du Groupe ESIEA

The work reported here presents an original method to model dependability of systems, taking into account degradations and failure modes governed by exogenous constraints. The component degradation dynamics is considered as a semi-Markov process. Environmental behaviour introduces switching models conditioned by exogenous constraints. Dynamic Bayesian Networks (DBN) are employed to formalise such complex dynamic processes through a compact representation. DBN allow simulating these processes, taking into account events due to the environmental behaviour. A hydraulic system is used to illustrate the reliability estimations obtained by the proposed modelling method.

Mots clés: Dynamic Bayesian Network; Markov Switching Model; Hidden Markov Models; Reliability evaluation

Domaines: Automatique

Philippe Weber, Lionel Jouffe, Paul Munteanu. Dynamic Bayesian Networks modelling the dependability of systems with degradations and exogenous constraints. Apr 2004, pp.cd-rom. ⟨hal-00131316⟩