VirMaLab - A generic approach for optimizing maintenance policies of complex systems
Résumé
Reliability analysis has become an integral part of system design and operating. This is especially true for systems performing critical tasks such as mass transportation systems. This explains the numerous advances in the field of reliability modeling. More recently, some studies involving the use of Bayesian Networks (BN) have been proved relevant to represent complex systems and perform reliability studies. In this paper, a generic decision support tool VirMaLab, developed to evaluate complex systems maintenance strategies, is introduced. This approach is based on a specific Dynamic BN, designed to model stochastic degradation processes and allowing any kind of state sojourn distributions along with an accurate context description: the Graphical Duration Models. If this approach is perfectly generic and can be apply to most of industrial complex systems, this paper will introduce two applications dedicated to railway maintenance optimization.