A wire-EDM maintenance and fault-diagnosis expert system integrated with an artificial neural network
Journal
International Journal of Production Research
Journal Volume
38
Journal Issue
5
Pages
1071-1082
Date Issued
2000
Author(s)
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. © 2000 Taylor & Francis Group, LLC.
Type
journal article