An IDEF0 model-based intelligent fault diagnosis system for manufacturing systems

This paper describes the work that leads to the development of an IDEF0 modelbased intelligent fault diagnosis system for manufacturing systems. It includes a review on different artificial intelligence techniques used for fault diagnosis. The basic notions of IDEF0 modelling, graph theory and fuzzy set theory are described. It covers the underlying principle of a new reasoning technique, the 'worst-first' search, developed in this work for fault diagnosis. Details of a prototype IDEF0 model-based intelligent fault diagnosis system are described. The system was validated using a simple manufacturing system. Results of the validation are presented.