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RESEARCH ON EXPERT SYSTEM OF FAULT DETECTION AND DIAGNOSING FOR PNEUMATIC SYSTEM OF AUTOMATIC PRODUCTION LINE
作者姓名:Wang Xuanyin Gao Lei Tao GuoliangState Key Laboratory of Fluid Power Transmission and Control  Zhejiang University  Hangzhou  China
作者单位:Wang Xuanyin Gao Lei Tao GuoliangState Key Laboratory of Fluid Power Transmission and Control,Zhejiang University,Hangzhou 310027,China
摘    要:Fault detection and diagnosis for pneumatic system of automatic production line are studied. An expert system using fuzzy-neural network and pneumatic circuit fault diagnosis instrument are designed. The mathematical model of various pneumatic faults and experimental device are built. In the end, some experiments are done, which shows that the expert system using fuzzy-neural network can diagnose fast and truly fault of pneumatic circuit.


RESEARCH ON EXPERT SYSTEM OF FAULT DETECTION AND DIAGNOSING FOR PNEUMATIC SYSTEM OF AUTOMATIC PRODUCTION LINE
Wang Xuanyin Gao Lei Tao GuoliangState Key Laboratory of Fluid Power Transmission and Control,Zhejiang University,Hangzhou ,China.RESEARCH ON EXPERT SYSTEM OF FAULT DETECTION AND DIAGNOSING FOR PNEUMATIC SYSTEM OF AUTOMATIC PRODUCTION LINE[J].Chinese Journal of Mechanical Engineering,2002,15(2):136-141.
Authors:Wang Xuanyin Gao Lei Tao Guoliang
Affiliation:State Key Laboratory of Fluid Power Transmission and Control,Zhejiang University,Hangzhou 310027,China State Key Laboratory of Fluid Power Transmission and Control,Zhejiang University,Hangzhou 310027,China State Key Laboratory of Fluid Power Transmission and Control,Zhejiang University,Hangzhou 310027,China
Abstract:Fault detection and diagnosis for pneumatic system of automatic production line are studied. An expert system using fuzzy-neural network and pneumatic circuit fault diagnosis instrument are designed. The mathematical model of various pneumatic faults and experimental device are built. In the end, some experiments are done, which shows that the expert system using fuzzy-neural network can diagnose fast and truly fault of pneumatic circuit.
Keywords:Pneumatic assembly line  Fuzzy-neural network fault diagnosis  Fault detection expert system
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