基于模糊概率petri网的故障诊断算法研究

Research on Fault Diagnosis Algorithm Based on Fuzzy Probability Petri Net

分析研究了具有概率信息的模糊petri网的故障诊断方法,利用概率信息消除反向诊断过程中冲突消解问题的同时,针对不确定逻辑的故障相关性,建立了具有不确定逻辑关系的模糊概率petri网模型,从而拓展了petri网的描述能力,提出了一种改进的反向诊断新算法,提高了诊断准确度。并以一个实际的故障诊断例子,对该诊断算法进行了说明,证明了方法的准确性和可行性。

It analyzed and researched fault diagnosis method based on probability information with fuzzy petri nets,using probability eliminated the reverse problem conflict resolution in the diagnostic process,while the uncertain logic relationship established uncertainty fuzzy logic probability petri net model,which expands the ability of petri net description and proposes a new algorithm to improve the reverse diagnosis algorithm,improving diagnostic accuracy.And with a practical example of fault diagnosis,the diagnosis algorithm is described,demonstrating the accuracy and feasibility of the method.