Fault Diagnosis of Fan Based on Fuzzy Neural Expert System
This paper combines neural network with expert system organically,adopts fuzzy membership function to calculate fuzzy relationship matrix to reduce the neural network algorithms dependence on training data, and on this basis, a newfashioned fuzzy neural expert system of fan is established.The system uses modular design and provides examples of diagnosis.The results show that The system performances high reasoning efficiency,good reliability,and satisfies the effectiveness and practicality of fault diagnosis of fan as well.The study can be extended to fault diagnosis of other rotating machinery.
fuzzy neural network expert system fen machine fault diagnosis
Liu Xiaobo Li Jianping
School of Aeronautics & Mechanical Engineering Nanchang Hangkong University Nanchang,330063,China School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou
国际会议
长沙
英文
1477-1480
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）