Titre :

Extension of the Bond Graph Causality Inversion Method for Fault Detection and Isolation: Application to a Mechatronic System

Auteur(s) :

Loureiro, Rui [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Merzouki, Rochdi [Auteur]
LAGIS-MOCIS
Ould-Bouamama, Belkacem [Auteur]
LAGIS-MOCIS

Titre de la manifestation scientifique :

8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes

Pays :

Mexique

Date de début de la manifestation scientifique :

2012-08-29

Titre de l’ouvrage :

Fault Detection, Supervision and Safety of Technical Processes

Date de publication :

2010-08-31

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique

Résumé en anglais : [en]

Controlled systems can be subjected to faults that may aect the performance of the system, and unable its objectives to be achieved. Fault detection and isolation algorithms are then used to study these faults. The bond ...
Lire la suite >Controlled systems can be subjected to faults that may aect the performance of the system, and unable its objectives to be achieved. Fault detection and isolation algorithms are then used to study these faults. The bond graph tool can be used for modeling purposes and then its structural, and causal properties can be exploited for automatic generation of analytical redundancy relations (ARRs) through a procedure named causality inversion method, which are used for diagnosis applications. These ARRs are mathematical constraints that are used to verify the coherence between the process measurements and the system model. This paper proposes an extension of the causality inversion method by dierent versions of the same ARR. The goal is to increase the number of isolable faults. Moreover, structural conditions are given in order to avoid the generation of redundant ARRs. To validate the obtained structural procedure, a fault is imposed in a traction of an omnidirectional mobile robot.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL