Fault detection with bayesian network - Inria - Institut national de recherche en sciences et technologies du numérique
Chapitre D'ouvrage Année : 2008

Fault detection with bayesian network

Résumé

The purpose of this chapter is to present a method for the fault detection in multivariate process, with a bayesian network. In this context, the detection is viewed as a classification task like the discriminant analysis, which can be transposed in a bayesian network. We prove mathematically the equivalence between the usual detection methods that are the multivariate control charts (Hotelling's T², MEWMA) and the quadratic discriminant analysis (in a bayesian network). So, this makes possible the fault detection with a bayesian network. An application on the Tennessee Eastman Process is given in order to demonstrate the approach.
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Dates et versions

inria-00517063 , version 1 (13-09-2010)

Identifiants

  • HAL Id : inria-00517063 , version 1

Citer

Sylvain Verron, Teodor Tiplica, Abdessamad Kobi. Fault detection with bayesian network. Alexander Zemliak. Frontiers in Robotics, Automation and Control, IN-TECH, 2008, 9789537619176. ⟨inria-00517063⟩

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