Title :

Fault Detection and Isolation in Presence of Input and Output Uncertainties Using Bond Graph Approach

Author(s) :

Touati, Youcef [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
MERZOUKI, ROCHDI [Auteur]
LAGIS-MOCIS
Ould Bouamama, Belkacem [Auteur]
LAGIS-MOCIS

Conference title :

IMAACA

City :

Rome

Country :

Italie

Start date of the conference :

2011

Book title :

THE 5TH INTERNATIONAL CONFERENCE ON INTEGRATED MODELING AND ANALYSIS IN APPLIED CONTROL AND AUTOMATION

Publication date :

2011

HAL domain(s) :

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

English abstract : [en]

In this paper, a bond graph model based approach for robust diagnosis in presence of input and output uncertainties is presented. Based on the structural and causal proprieties of the bond graph tool, a procedure of input ...
Show more >In this paper, a bond graph model based approach for robust diagnosis in presence of input and output uncertainties is presented. Based on the structural and causal proprieties of the bond graph tool, a procedure of input and output uncertainties modeling is proposed in order to generalize the threshold generation. The proposed procedure is applied to the graphical model in preferred derivative causality, used for analytical redundancy relations. Simulation results are presented in order to validate the proposed procedure of thresholds and residuals generation.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL