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针对传统故障诊断方法在模拟故障传播及诊断推理过程中存在不确定性等问题,提出一种基于扩展染色模糊故障Petri网的故障诊断分析方法;首先,在采用传统的Petri网模型描述系统故障状态的基础上,引入令牌、库所染色规则,并进一步结合模糊产生式规则与矩阵运算进行故障正反推理,提高模型的容错性;该模型正向推理采用变迁点火判别矩阵实现故障状态的智能评价,反映故障传播特性;逆向推理采用最小割集理论方法进行优先诊断,提供诊断次序,避免诊断的盲目性;最后以气源系统为典型应用对象,验证上述方法的有效性。
Aiming at the problems of traditional fault diagnosis methods such as uncertainty propagation in simulation fault propagation and diagnosis reasoning, a fault diagnosis and analysis method based on extended staining fuzzy fault Petri nets is proposed. Firstly, the traditional Petri net model is used to describe the fault states , Introduces the rules of tokens and place coloring, and further combines the rules of fuzzy production and matrix operations to forward and reverse the fault so as to improve the fault tolerance of the model. The forward reasoning of the model uses the transition firing discriminant matrix to realize the fault state intelligence Evaluation, reflect the characteristics of fault propagation; reverse reasoning using minimum cut set theory for priority diagnosis, to provide diagnostic order, to avoid the diagnosis of blindness; Finally, the gas source system as a typical object of application to verify the effectiveness of the above method.