Author： Huang J. T. Liao Y. S.
Publisher： Taylor & Francis Ltd
ISSN： 0020-7543
Source： International Journal of Production Research, Vol.38, Iss.5, 2000-03, pp. : 1071-1082
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Abstract
In wire electrical discharge machining (Wire-EDM), some faults such as wirebreaking and unsatisfactory accuracy may still occur due to improper operations or inappropriate machine maintenance. A maintenance-schedule and fault-diagnosis system that integrates an artificial neural network (ANN) and an expert system (ES) is developed. It is time-saving in knowledge acquisition, is easy to maintain and is capable of self-learning. The occasions which call for machine maintenance are advised automatically. Suggestions to eliminate faults are proposed sequentially according to the inferred priority once a fault is taking place. Moreover, it can provide explanations.
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