Research on Cascading Fault Location of Chemical Material Networks Based on BFS-Time-Reversal Backpropagation Algorithm

It is of great theoretical value and practical significance to study the location of cascading failures in chemical material networks with large and complex characteristics. Previous mainly used the method of obtaining all information of nodes, maximum likelihood estimation function, and distance centrality to locate faults. These methods need to determine the status of all nodes in the network or perform operations on the nodes in the entire network related to the observation node, the localization process is more complicated and costly, and the results are not accurate enough. This paper proposes a positioning method based on the breadth-first search strategy (BFS)-time-reversal backpropagation algorithm to study the cascading fault location of chemical material networks. Firstly, the cascade fault propagation model of the chemical material network is constructed according to the relevant theory of the complex network, and the observation node selection strategy selects the observation node. Secondly, use the BFS to search out the fault area, then make assumptions about the time delay of the propagation process, and use the time-reversal backpropagation algorithm to filter the nodes in the fault area to realize the cascade fault location of the chemical material network. Finally, change the observation node selection strategy, analyze the positioning accuracy under each strategy, and select the optimal selection strategy for positioning using the method in this paper. Case analysis shows that this method can effectively realize the cascading fault location in the chemical material network.