Multivariate control charts with a bayesian network

Abstract : The purpose of this article is to present an approach allowing the fault detection of a multivariate process with a bayesian network. As a discriminant analysis is easily modeled with a bayesian network, we will show that we we can consider the multivariate T² and MEWMA control charts as particular cases of the discriminant analysis. So, we give the structure of the bayesian network as well as the parameters of the network in order to detect faults in the multivariate space in the same manners as if we used multivariate control charts. The resulting bayesian network, with a computed threshold, is similar to the multivariate control charts.
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Communication dans un congrès
4th International Conference on Informatics in Control, Automation and Robotics (ICINCO'07), 2007, Angers, France. pp.228-233, 2007
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Contributeur : Sylvain Verron <>
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Dernière modification le : lundi 5 février 2018 - 15:00:08
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Sylvain Verron, Teodor Tiplica, Abdessamad Kobi. Multivariate control charts with a bayesian network. 4th International Conference on Informatics in Control, Automation and Robotics (ICINCO'07), 2007, Angers, France. pp.228-233, 2007. 〈inria-00517017〉

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