Communication Dans Un Congrès Année : 2015

Detection, isolation and fault estimation of nonlinear systems using a directional study

Résumé

In terms of system diagnosis, several studies are generally performed. The diagnosis is composed of three different parts: detecting, isolating and estimating the value of the faults. If many results have been obtained for linear systems with a known model, the situation is quite different in the case of nonlinear systems behavior, especially when the model is not known a priori. This paper proposes to discuss the latter case using a study of the dissimilarities between data. The dissimilarities are evaluated by a nonlinear function of the Euclidean distances. To this end, a radial basis function is used, and a directional study is introduced for fault diagnosis. The relevance of the proposed technique is illustrated on simulated data.

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Dates et versions

hal-01221044 , version 1 (25-10-2024)

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Maya Kallas, Gilles Mourot, Didier Maquin, José Ragot. Detection, isolation and fault estimation of nonlinear systems using a directional study. 12th European Workshop on Advanced Control and Diagnosis, ACD 2015, Nov 2015, Pilsen, Czech Republic. ⟨10.1088/1742-6596/659/1/012032⟩. ⟨hal-01221044⟩
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