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A Study on the Fuzzy Reasoning Algorithm for Fault Diagnosis Systems

Lian Xiaoqin; Wang Xinyi; Zhu Ziaoyan(College of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081)  
Ih connection with the charactcristics of fault diagnosis systems (FDS), a backward fuzzy reasoning algorithm based on fop petri net (FPN) model is presented.Information from the sensing organs is fed in during the reasoning process, and the reasonning effectiveness of the FDS is thus improved with the algorithm.
【Fund】: 高等学校博士学科点专项基金
【CateGory Index】: TP277
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