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An intelligent online machine fault diagnosis system

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2 Author(s)
Fong, A.C.M. ; Inst. of Inf. & Math. Sci., Massey Univ., Albany, New Zealand ; Hui, S.C.

Traditional help desk service relies heavily on the expertise of service personnel. This article describes an intelligent data mining technique that combines neural network and rule-based reasoning with case-based reasoning to mine information from the customer service database for online machine fault diagnosis. This technique has been implemented into a help-desk system that supports online machine fault diagnosis over the Internet.

Published in:

Computing & Control Engineering Journal  (Volume:12 ,  Issue: 5 )