A robust algebraic approach to fault diagnosis of uncertain linear systems

Abdouramane Moussa Ali (1, 2) , Cédric Join (2, 3) , Frédéric Hamelin (2)

1 SISYPHE - SIgnals and SYstems in PHysiology & Engineering
2 CRAN - Centre de Recherche en Automatique de Nancy
3 ALIEN - Algebra for Digital Identification and Estimation

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 identi- fying explicitly model parameters. Using tools and results of algebraic identification and pseudospectra analysis, the issues of robustness of the proposed 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.

Mots clés: fault diagnosis and identification; actuator fault; sensor fault; uncertain linear systems

Domaines: Automatique / Robotique

Abdouramane Moussa Ali, Cédric Join, Frédéric Hamelin. A robust algebraic approach to fault diagnosis of uncertain linear systems. 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Dec 2011, Orlando, Florida, United States. pp.CDROM. ⟨hal-00650802⟩