Using Bayesian networks for decision in the simultaneous faults case

The purpose of this article is to present a new method for process diagnosis with Bayesian network. The interest of this method is to propose a new structure of Bayesian network allowing to diagnose a system with the model-based framework or with the data-driven framework. A particular interest of the proposed approach is the use of continuous nodes in the network in order to evaluate the status of the process. The effectiveness and performances of the method are illustrated on a heating water process corrupted by various faults

Decision with Bayesian network in the concurrent faults event

The purpose of this article is to present a new method for process diagnosis with Bayesian network. The interest of this method is to propose a new structure of Bayesian network allowing to diagnose a system with the model-based framework or with the data-driven framework. A particular interest of the proposed approach is the use of continuous nodes in the network in order to evaluate the status of the process. The effectiveness and performances of the method are illustrated on a heating water process corrupted by various faults

Component reliability in fault-diagnosis decision making based on dynamic Bayesian networks

International audienceThe decision-making in fault diagnosis methods generally relies on the analysis of fault signature vectors. This paper presents a new approach of decision-making in the case of the signature vectors for various identical or similar faults. The main contribution of the paper consists in the fusion between the reliability and the evaluation of the residuals in order to increase the fault isolation efficiency. The decision-making, formalised as a bayesian network, is established with a priori knowledge on fault signatures, false alarm and missing detection probability, on line component state estimation computed by a bayesian fusion of the component reliability and measurements. The effectiveness and performances of the method are illustrated on a heating water process corrupted by various faults