Fuzzy Reasoning Petri Net and its Application to Fault Diagnosis
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摘要: 分析了推理Petri网与传统Petri网的共性和区别,给出了模糊产生式规则推理 Petri网模型.在此基础上,给出了有效的推理算法,并以极大代数矩阵算子进行了形式化表 示,此算法充分利用了Petri网的数学理论基础和描述并发系统的能力,具有并行推理能力, 可以同时得到推理后系统的全部状态值.最后举例说明了其在故障诊断中的应用.
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关键词:
- 模糊产生式规则 /
- 模糊推理Prtri网 /
- 模糊推理算法 /
- 故障诊断
Abstract: A fuzzy reasoning Petri net (FRPN) model is defined in this paper to represent the fuzzy production rules of a rule-based system. Based on the FRPN model, an efficient reasoning algorithm is proposed. The fuzzy reasoning algorithm is formally expressed using max-algebra matrix equation, and has parallel reasoning ability. Through using this algorithm, the truth of all the statements in a system can be got from its initial state. An application to fault diagnosis system is explained through an example. -
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