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Research on Causal Model Construction and Fault Diagnosis of Control Systems

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成果类型:
会议论文
作者:
Zhu Q.;Chen Z.;Liu J.;Xu Z.;Wen J.;...
作者机构:
School of Computer Science, University of South China, Hengyang, 421200, China
Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610064, China
School of Electrical Engineering, University of South China, Hengyang, 421200, China
语种:
英文
关键词:
Control systems;Data flow analysis;Fault detection;Flow graphs;Nuclear fuels;Nuclear power plants;Causal graph;Causal graph model;Causal modeling;Complex control systems;Control equations;Faults diagnosis;Graph model;Hot topics;Information flows;Model construction;Failure analysis
期刊:
Lecture Notes in Electrical Engineering
ISSN:
1876-1100
年:
2023
卷:
1047 LNEE
页码:
833-849
会议名称:
7th International Conference on Computing, Control and Industrial Engineering, CCIE 2023
会议时间:
25 February 2023 through 26 February 2023
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789819927296
机构署名:
本校为第一机构
院系归属:
电气工程学院
摘要:
Fault diagnosis of complex control systems is a difficult and hot topic of research at this stage. In order to explore the internal operation characteristics of complex control systems and fault propagation methods to achieve efficient and accurate fault diagnosis, this paper studies control system fault diagnosis methods based on cause-effect relationships, analyzes the role relationship between system components from the perspective of control equation structure, proposes the method of constructing cause-effect diagram models with control equ...

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