Structural Analysis for FDI: a modified, invertibility-based canonical decomposition

de Flaugergues, Vincent; Cocquempot, Vincent; Merchez, Mireille; Pengov, Marco

Document type :

Communication dans un congrès avec actes

Title :

Structural Analysis for FDI: a modified, invertibility-based canonical decomposition

Author(s) :

de Flaugergues, Vincent [Auteur]
Cocquempot, Vincent [Auteur]

Systèmes Tolérants aux Fautes [STF]
Merchez, Mireille [Auteur]

Pengov, Marco [Auteur]

Conference title :

20th International Workshop on Principles of Diagnosis DX'09

City :

Stockholm

Country :

Suède

Start date of the conference :

2009-06-14

Book title :

Proceedings of the 20th International Workshop on Principles of Diagnosis

Publication date :

2009-06-14

English keyword(s) :

Fault detection and diagnosis
structural analysis
model decomposition
invertibility

HAL domain(s) :

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

English abstract : [en]

Structural analysis is a simple but efficient method in the field of Fault Detection and Isolation (FDI), to determine system properties such as observability, fault detectability or diagnosability. Our method is based on ...
Show more >Structural analysis is a simple but efficient method in the field of Fault Detection and Isolation (FDI), to determine system properties such as observability, fault detectability or diagnosability. Our method is based on the study of a bipartite graph derived from the behavioral model of the system, which represents the links between the variables of the system. A graph-decomposition tool, known as the Dulmage-Mendelsohn decomposition (also named canonical decomposition) is used in order to determine the monitorable and observable subsystems. Additionally, a structural analysis can be performed with the objective of designing fault indicators, i.e. residuals, which are used for FDI. Invertibility constraints of the relations of the behavioral model, are used to determine the calculability of the residuals. These invertibility constraints are not considered to derive the canonical decomposition. Consequently, some structurally monitorable subsystems may correspond to non-realizable (non-computable) residuals. In this paper, we propose a new canonical decomposition algorithm which takes into account the invertibility constraints: our modified decomposition redefines the monitorable and observable part of the system, so that each of these parts do not contain elements which would turn out to be unusable, from a calculability standpoint.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

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