故障诊断系统中模糊推理算法的研究

A Study on the Fuzzy Reasoning Algorithm for Fault Diagnosis Systems

  • 摘要: 针对故障诊断系统的特点,提出了一种基于模糊PetriNets模型的反向模糊推理算法,并将人的感官信息加于其中,提高了故障诊断系统推理的效率。

     

    Abstract: 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.

     

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