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Decision with Bayesian network in the concurrent faults event

Abstract : 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.
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https://hal.inria.fr/inria-00517098
Contributor : Sylvain Verron Connect in order to contact the contributor
Submitted on : Monday, September 13, 2010 - 3:14:48 PM
Last modification on : Wednesday, October 20, 2021 - 3:19:19 AM
Long-term archiving on: : Tuesday, December 14, 2010 - 2:54:40 AM

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  • HAL Id : inria-00517098, version 1

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Sylvain Verron, Philippe Weber, Didier Theilliol, Teodor Tiplica, Abdessamad Kobi, et al.. Decision with Bayesian network in the concurrent faults event. 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SafeProcess'09), 2009, Barcelone, Spain. ⟨inria-00517098⟩

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