基于因果关系的故障传播路径辨识方法研究

Research on fault propagation path identification method based on causality

针对故障传播路径辨识问题,提出了一种基于因果关系的故障传播路径辨识方法,从因果关系的角度揭示了故障发生及传播的内涵。利用系统中故障发生的因果性,确定故障发生时受影响的变量,构建故障相关变量集合;通过因果关系指示指标确定故障相关变量中各个变量的因果性,构建因果矩阵;提出保可达性的赋权有向图最小生成树算法,根据因果矩阵对相关变量之间的因果性进行图示化表达,确定故障相关变量之间的传播影响过程,实现故障传播路径的辨识。所提方法在双带通滤波器电路上进行了实验验证,实验结果表明了所提方法能够正确筛选故障相关变量集合,分析变量之间的因果关系,辨识出故障传播路径,同时所提方法在时间成本上相较于常用的传递熵方法具有一定的优势。

Aiming at the fault propagation path identification problem,a causality-based fault propagation path identification method is proposed,which reveals the occurrence and propagation connotation of faults from the perspective of causality.The causality of fault occurrence in system is used to determine the variables affected by fault occurrence and to construct the set of failure-related variables.The causality of each variable is determined by the causality relationship indicator index,and the causality matrix is constructed.A weighted directed graph minimum spanning tree algorithm with reachability is proposed,and the causality among related variables is graphically expressed according to causality matrix,and the propagation influence process between fault related variables is determined to realize the identification of fault propagation path.The proposed method is verified by experiments on the circuit of double bandpass filter.The experimental results show that the proposed method can correctly screen the set of fault related variables,analyze the causal relationship between variables,and identify the fault propagation path.Meanwhile,the proposed method has certain advantages over the commonly used transfer entropy method in terms of the time cost.