Bayesian networks Applications on Dependability, Risk Analysis and Maintenance

In this paper, a bibliographical review is presented about the use of Bayesian networks over the last decade on dependability, risk analysis and maintenance. It is shown an increasing trend of the literature and of the application of Bayesian networks in fields related to reliability, safety and maintenance. This trend is due to the benefits that Bayesian networks provide in contrast with other classical methods of dependability analysis such as Markov Chains and Fault Trees. Some of these benefits are: to model and to analyze complex systems, to make predictions as well as diagnostics, to compute exactly the occurrence probability of an event, to update the calculations according to evidences and to represent multimodal variables. This review is based on an extraction of 200 references; the most representative are presented.