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Duality of Analytical Redundancy and Statistical Approach in Fault Diagnosis

Abstract : Two well-known methods of fault diagnosis (detection and isolation) are discussed in the paper : geometrical based (via analytical redundancy) and statistical based approaches. Both of the above approaches are used to solve the same practical problem, namely, to design a fault detection/isolation algorithm which is robust with respect to a model uncertainty, unknown states, and unmeasured disturbances and while sensitive with respect to a fault, in order to insure good detection/isolation properties. The goal of the paper is to discuss a duality of these different techniques.
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https://hal-utt.archives-ouvertes.fr/hal-02884645
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, June 30, 2020 - 9:24:37 AM
Last modification on : Wednesday, July 1, 2020 - 3:40:19 AM

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Igor Nikiforov, Marcel Staroswiecki, Benoit Vozel. Duality of Analytical Redundancy and Statistical Approach in Fault Diagnosis. 13th World Congress of IFAC, 1996, USA, 30 June - 5 July, Jun 1997, San Francisco, United States. pp.6343-6348, ⟨10.1016/S1474-6670(17)58698-X⟩. ⟨hal-02884645⟩

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