Title :

A Data Driven Method for Sensor Fault Detection and Isolation in Bilinear Systems

Author(s) :

Pekpe, Midzodzi [Auteur]
Systèmes Tolérants aux Fautes [STF]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Christophe, Cyrille [Auteur]
Systèmes Tolérants aux Fautes [STF]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]

Conference title :

European Control Conference 2007

City :

Kos

Country :

Grèce

Start date of the conference :

2007-07-02

Publication date :

2007-07-04

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]

English abstract : [en]

A method for multi-sensor Fault Detection and Isolation (FDI) is proposed for bilinear systems whose model structure is known but whose model parameters are not known. Thus, the proposed FDI method uses only available data: ...
Show more >A method for multi-sensor Fault Detection and Isolation (FDI) is proposed for bilinear systems whose model structure is known but whose model parameters are not known. Thus, the proposed FDI method uses only available data: control signals and measured outputs and do not need an explicit model formulation. System output variables are expressed on a given time window as functions of input variables and initial unknown state. Under stability hypothesis, the influence of initial state may be neglected compared with inputs contribution. Furthermore, considering on-line outputs aggregation and orthogonal projection w.r.t. inputs, computable model-free residuals may be obtained. An academic example is provided to show the efficiency of the proposed method.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