Fault Diagnosis Using Bond Graphs in an Expert System

Zhuoran Zhou, Zhanguo Ma (), Yingying Jiang and Minjun Peng ()
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Zhuoran Zhou: Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin 150001, China
Zhanguo Ma: Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin 150001, China
Yingying Jiang: Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China
Minjun Peng: Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin 150001, China

Energies, 2022, vol. 15, issue 15, 1-29

Abstract: A fault diagnosis method using bond graphs in an expert system is proposed for a reactor coolant system. Firstly, the time causality graph and the variable relationship graph are derived from the bond graph. Secondly, the fault signature matrix is obtained by combining the change relationship of fault parameters. Finally, the fault signature matrix is used as the rule of the inference engine design in the expert system for fault diagnosis. In this paper, the key equipment of the reactor coolant system is used to verify the fault diagnosis method of the bond graph expert system, and the path reasoning relationship between alarms is obtained, which can accurately obtain the deep knowledge required by the operators. A new idea for fault diagnosis in a nuclear power plant’s expert system is provided by this method.

Keywords: reactor coolant system; bond graph; fault diagnosis; expert system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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