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In this paper, we present an original FDD method. The interest of this method is her ability to coexist residuals and measures, under a same and a single tool. Indeed, our proposal is to combine two different Bayesian networks to FDD. A model-based method is associated to a data-driven method to enhance decision making on the system operating state. This method is evaluated on a simulation of a water heater system in some various circumstances.

A Bayesian Approach to FDD Combining Two Different Bayesian Networks Modeling a Data-Driven Method and a Model-based Method