One fault caused by many reasons is more common during diagnosis reasoning in PeRi net, the reasoning results can' t distinguish the possibility among the coordinate reasons and unable to show expert experience.Therefore, define a fuzzy PeRi net(FPN) oriented fault diagnosis, use the state equation reasoning methods and describe exper experience by fuzzy parameter for these problems.Meanwhile, the reliability of a reasoning result is described by the corresponding fuzzy parameters of the place.Using the new definition and reasoning methods the differences among the coordinate reasons can be distinguished.Via a sample verify the correctness and validity of the definition and state equation and diagnosis reasoning algorithm of the fuzzy PeRi net proposed.%运用Petri网进行故障诊断推理时,常存在一种故障对应着多种原因的可能,推理结论不能区分并列原因间的相对可能性,且不能体现人工经验.针对这一问题,定义了一种面向故障诊断的模糊Petri网,运用基于状态方程的推理方法,将人工经验用模糊值表示并参与推理运算,以相应库所对应的模糊信息值来衡量库所对应事件的可信度,从而可以实现区分并列事件间的相对可能性.通过某控制系统故障诊断实例,验证了所定义的模糊Petri网和状态方程及其诊断算法的正确性和有效性.
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