Transformation of Fault Trees into Bayesian Networks Methodology for Fault Diagnosis

In this article, we have shown an application of a decision support tool which is the FTBN. The combination of bayesian network (BN) with fault tree (FT) is an interesting approach to diagnose mechanical systems. Bayesian networks provide robust probabilistic methods of reasoning under uncertainty, widely used in the field of reliability and fault diagnosis. Fault tree is a method of deductive analysis based on the realization of an arborescence used to identify combinations of failures. Since both tools have a probabilistic aspect, the main purpose of this work is to give a methodological approach based on the transformation method of fault tree into bayesian network to model a mechanical system, more specifically the fault diagnosis.