Fault Detection and Isolation in Manufacturing Systems with an Identi ed Discrete Event Model

Matthias Roth (1, 2) , Stefan Schneider (3) , Jean-Jacques Lesage (1) , Lothar Litz (3)

1 LURPA - Laboratoire Universitaire de Recherche en Production Automatisée
2 AT+ - Institute of Automatic Control
3 AT+ - Institute of Automatic Control

In this paper a generic method for fault detection and isolation (FDI) in manufacturing systems considered as discrete event systems (DES) is presented. The method uses an identi ed model of the closed loop of plant and controller built on the basis of observed fault free system behavior. An identi cation algorithm known from literature is used to determine the fault detection model in form of a non-deterministic automaton. New results of how to parameterize this algorithm are reported. To assess the fault detection capability of an identi ed automaton, probabilistic measures are proposed. For fault isolation, the concept of residuals adapted for DES is used by de ning appropriate set operations representing generic fault symptoms. The method is applied to a case study system.

Mots clés: Diagnosis of Discrete Event Systems; Identi cation of Discrete Event Systems

Domaines: Automatique / Robotique

Matthias Roth, Stefan Schneider, Jean-Jacques Lesage, Lothar Litz. Fault Detection and Isolation in Manufacturing Systems with an Identi ed Discrete Event Model. International Journal of Systems Science, 2012, 43 (10), pp.1826-1841. ⟨hal-00782776⟩