15863 articles – 31995 Notices  [english version]
HAL : hal-00650811, version 1

Fiche détaillée  Récupérer au format
Systems and Control Letters 61, 2 (2012) 316-321
Fault diagnosis without a priori model
Abdouramane Moussa Ali 1, 2, Cédric Join 1, 3, Frédéric Hamelin 1
(02/2012)

This article proposes an algebraic method to fault diagnosis for uncertain linear systems. The main advantage of this new approach is to realize fault diagnosis only from knowledge of input and output measurements without identifying explicitly model parameters. Using tools and results of algebraic identification and pseudospectra analysis, the issues of robustness of the pro- posed approach compared to the model order and noise measurement are examined. Numerical examples are provided and discussed to illustrate the efficiency of the proposed fault diagnosis method.
1 :  Centre de recherche en automatique de Nancy (CRAN)
CNRS : UMR7039 – Université Henri Poincaré - Nancy I – Institut National Polytechnique de Lorraine (INPL)
2 :  SISYPHE (SIgnals and SYstems in PHysiology and Engineering) (INRIA Rocquencourt)
INRIA
3 :  ALIEN (INRIA Saclay - Ile de France/Inria Lille - Nord Europe)
INRIA – Polytechnique - X – Ecole Centrale de Lille – CNRS : UMR8146
Sciences de l'ingénieur/Automatique / Robotique
Fault detection and isolation – actuator fault – sensor fault – free-model fault diagnosis.