Methodology to obtain local discrete diagnosers: Submission for special session on diagnosis of DES: Application on a benchmark

Abstract

This paper deals with an approach of diagnosis for manufacturing system considered as Discrete Event Systems. A decomposition of the plant by mechanical component is used to construct a decentralized diagnosis structure to reduce the combinatory explosion found in centralized structures. Local normal behavior is extracted from local Plant Element using controller information. Possible faults are identified by partition to construct abnormal behavior models. The approach is evaluated with key performance indicators and uses the Pick and Place benchmark proposed in the session.