A fault detection and isolation scheme for industrial systems based on multiple operating models

Abstract : In this paper, a fault diagnosis method is developed for systems described by multi- models. The main contribution consists in the design of a new Fault Detection and Isolation scheme (FDI) through an adaptive filter for such systems. Based on the assumption that dynamic behavior of the process is described by a multi-model approach around different operating points, a set of residual is established in order to generate weighting functions robust to faults. These robust weighting functions are directly linked with the adaptive filter effectiveness which provides multiple fault magnitude estimations for the whole operating range of the system. Stability conditions of the adaptive filter are studied and its performances are tested using an hydraulic system.
Type de document :
Article dans une revue
Control Engineering Practice, Elsevier, 2008, 16 (2), pp.225-239. 〈10.1016/j.conengprac.2006.02.020〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00158391
Contributeur : Mickael Rodrigues <>
Soumis le : lundi 2 mars 2009 - 21:01:11
Dernière modification le : vendredi 23 novembre 2018 - 17:38:04
Document(s) archivé(s) le : jeudi 8 avril 2010 - 22:04:24

Fichier

CEP_RODRIGUES_2008.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Mickael Rodrigues, Didier Theilliol, Manuel Adam Medina, Dominique Sauter. A fault detection and isolation scheme for industrial systems based on multiple operating models. Control Engineering Practice, Elsevier, 2008, 16 (2), pp.225-239. 〈10.1016/j.conengprac.2006.02.020〉. 〈hal-00158391〉

Partager

Métriques

Consultations de la notice

253

Téléchargements de fichiers

529