Title :
An intelligent online machine fault diagnosis system
Author :
Fong, A.C.M. ; Hui, S.C.
Author_Institution :
Inst. of Inf. & Math. Sci., Massey Univ., Albany, New Zealand
Abstract :
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.
Keywords :
Internet; case-based reasoning; data mining; diagnostic expert systems; fault diagnosis; marketing data processing; neural nets; technical support services; Internet; case-based reasoning; customer service database; help-desk system; intelligent data mining; intelligent online machine fault diagnosis system; neural network reasoning; online machine fault diagnosis; rule-based reasoning;
Journal_Title :
Computing & Control Engineering Journal
DOI :
10.1049/cce:20010503