Abstract:
This paper presents a learning-based approach to equipment diagnosis in integrated manufacturing ceils. Two forms of heuristic knowledge are used to facilitate the diagnosis, and each can be updated to improve the performance of the diagnostic system as successful diagnostic cases are completed.