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