Research on fault propagation path identification method based on causality

被引：0

作者：

Lyu J. ^{[1
]}

Shi X. ^{[1
]}

Qin L. ^{[1
]}

Zhao C. ^{[1
]}

机构：

[1] Coastal Defense College, Naval Aviation University, Yantai

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 12期

关键词：

causality; fault propagation path; minimum spanning tree of directed graph; structural causal model;

D O I：

10.12305/j.issn.1001-506X.2023.12.40

中图分类号：

学科分类号：

摘要：

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. © 2023 Chinese Institute of Electronics. All rights reserved.

引用

页码：4090 / 4100

页数：10

共 34 条

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