Research upon Fault Diagnosis Expert System Based on Fuzzy Neural Network
Yang Kun, OuYang Guangyao, YE Li-na · 2009
The traditional Expert System has many shortcomings, for instance, its weak knowledge acquisition capability and empirical knowledgepsilas expression uncertainty. To solve these bottleneck problems, A strategy on fault diagnosis expert system which is based upon fuzzy theory and ANN(ANN:artificial neural network) technique is put forward in this paper, as also its principle, construction, algorithm are all presented. Its performance has been proved to be very excellent when used upon the diesel fuel system classified fault diagnosis.