Article Dans Une Revue Journal of Process Control Année : 2008

Fault detection and identification with a new feature selection based on mutual information

Résumé

This paper presents a fault diagnosis procedure based on discriminant analysis and mutual information. In order to obtain good classification performances, a selection of important features is done with a new developed algorithm based on the mutual information between variables. The application of the new fault diagnosis procedure on a benchmark problem, the Tennessee Eastman Process, shows better results than other well known published methods.

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hal-00516996 , version 1 (13-09-2010)

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Sylvain Verron, Teodor Tiplica, Abdessamad Kobi. Fault detection and identification with a new feature selection based on mutual information. Journal of Process Control, 2008, 18 (5), pp.479-490. ⟨10.1016/j.jprocont.2007.08.003⟩. ⟨hal-00516996⟩

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