KNOWLEDGE AND FUZZY NEURAL NETWORK BASED FAULT DIAGNOSTIC EXPERT SYSTEM
LU Xuejun, Wang Yiou · Jixie qiangdu · 2000
A fault diagnosis expert system based on the knowledge and fuzzy neural network is developed. The frame of fault diagnosis system is designed and constructed. The comprehensive diagnosis idea of expert system under the control of task scheduler is showed in this frame. Knowledge base is the kernel of fault diagnosis expert system. It is defined as generalized three layer rulebase structure in this system which consists of basic rules, fault diagnosis rules, result merging rules. The function to classify faults and combine diagnosis results in expert system is realized by FNN. The issue of input and output parameter fuzzification of FNN is also discussed in this paper. Finally, as an example, a turbine fault diagnosis is analyzed. It shows that the expert system has the high reasoning efficiency and diagnosis accuracy.