Diagnose Methodology Based on Bayesian Net to Indicate Failure Probability

The Proposal of this paper is to demonstrate the diagnosis methodology based on Bayesian Net and fuzzy logic to indicate failure probability for vehicle systems and other segments, for instance medical and Aeronautic. This work was initially developed in a dissertation that has succeeded in developing a system of fault diagnosis for diesel engines and now this article demonstrated the possibility of extending this methodology to other vehicle systems and other segments science. Also extension to other areas was also added to the technique of logic that adds the advantage of supporting the fuzzy logic in complex environments, such as the vehicle approached the diagnosis, aerospace and medical.