Author
Listed:
- Zhuoran Zhou
(Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin 150001, China
Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China
Key Laboratory of Nuclear Power Plant Performance and Equipment, Harbin 150001, China)
- Zhanguo Ma
(Key Subject Laboratory of Nuclear Safety and Simulation Technology, Harbin Engineering University, Harbin 150001, China
Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China
Key Laboratory of Nuclear Power Plant Performance and Equipment, Harbin 150001, China
School of Automation, Harbin University of Science and Technology, Harbin 150080, 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
Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China
Key Laboratory of Nuclear Power Plant Performance and Equipment, Harbin 150001, China)
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.
Suggested Citation
Zhuoran Zhou & Zhanguo Ma & Yingying Jiang & Minjun Peng, 2022.
"Fault Diagnosis Using Bond Graphs in an Expert System,"
Energies, MDPI, vol. 15(15), pages 1-29, August.
Handle:
RePEc:gam:jeners:v:15:y:2022:i:15:p:5703-:d:881397
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5703-:d:881397. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.