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Communication Dans Un Congrès Année : 2001

Multi-Fault Detection of Systems with Bounded Uncertainties

Résumé

Fault detection in linear static models with uncertain parameters is studied in this paper. Using a parity space technique, a method based on the bounding approach is proposed. Several types of structured faults may affect a physical system and in this context, two cases are distinguished: - the structured fault is a prior identified as a region in the parameter space, by considering the physical knowledge on the studied system. The corresponding procedure is called supervised. - the second case corresponds to a fault which has an unknown structure. The corresponding procedure is called unsupervised fault. In this article, a strategy consists first in characterizing various fault structures and then in establishing a fault detection and identification (FDI) procedure by using interval analysis.
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Dates et versions

hal-00288652 , version 1 (17-06-2008)

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Hicham Janati-Idrissi, Olivier Adrot, José Ragot. Multi-Fault Detection of Systems with Bounded Uncertainties. 40th IEEE Conference on Decision and Control, Dec 2001, Orlando, United States. pp.1017-1022, ⟨10.1109/.2001.981016⟩. ⟨hal-00288652⟩
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