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Conference Papers Year : 1996

Duality of Analytical Redundancy and Statistical Approach in Fault Diagnosis

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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.

Dates and versions

hal-02884645 , version 1 (30-06-2020)

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Igor V. 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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