Adaptive filter design for fault detection and isolation of nonlinear systems based on multiple model approach - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2003

Adaptive filter design for fault detection and isolation of nonlinear systems based on multiple model approach

Résumé

In this paper, the fault diagnosis of non linear systems based on a adaptive filter is developed. The proposed method makes possible the fault detection, isolation and estimation for the whole operating range of the nonlinear system. Based on the assumption that the dynamic behavior of the nonlinear system is defined as a multiple model approach, a set of residual vector insensitive to faults is established and thus generating a global model exploited in an adaptive filter. The convergence and stability conditions of the adaptive filter are developed and its performances are tested in simulation.
Fichier principal
Vignette du fichier
safeprocess_2003_MR.pdf (188.87 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00364810 , version 1 (27-02-2009)

Identifiants

  • HAL Id : hal-00364810 , version 1

Citer

Didier Theilliol, Mickael Rodrigues, Manuel Adam Medina, Dominique Sauter. Adaptive filter design for fault detection and isolation of nonlinear systems based on multiple model approach. 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2003, Jun 2003, Washington, D.C., United States. pp.CDROM. ⟨hal-00364810⟩
210 Consultations
140 Téléchargements

Partager

Gmail Facebook X LinkedIn More