摘要
本文将Petri网和模糊推理相结合,建立故障诊断的模糊Petri网模型。其中,用FPN表示模糊产生规则,用Petri网的变迁激活规则进行故障诊断推理,从而分析出异常行为过程间的因果关系,推理出故障的原因及其可信度。以汽车故障诊断为例,建立了基于模糊Petri网的诊断模型。通过仿真分析,验证了模型的正确性和算法的有效性。
Petri nets and fuzzy reasoning are combined to establish a fuzzy Petri net（FPN） model of fault diagnosis. FPN is used to express fuzzy generation rules, and the flux activation rules of Petri net are adopted to carry out fault diagnosis reasoning. Therefore, the cause and effect relationships in the abnormal activity process are analyzed. Then, the reasons and reliability of faults are reasoned. Taking the auto fault diagnosis as an example a simple fault diagnosis model based on fuzzy Petri nets is built. The correctness of the model and the validity of the algorithm are verified by the simulation analysis results.
出处
《计算机工程与科学》
CSCD
北大核心
2009年第3期86-88,共3页
Computer Engineering & Science
基金
湖南省教育厅资助项目(06C122)
湖南省自然科学基金资助项目(08JJ3124)
