Signed Directed Graph (SDG) is a kind of fault diagnosis method based on a qualitative model. SDG can not only efficiently express the interrelations among variables of complex systems and has strong completeness, flexible reasoning ways and effective reasoning algorithm, but also shows faults propagation paths and faults detailed explanations. In this paper, SDG is applied to fault diagnosis in nuclear power plant which is a large-scale and complex system, and diagnosis results are transformed into a series of expert rules. The case studies show this method can find faults propagation paths and fault source can be determined effectively and improve the efficiency of fault diagnosis. The application of SDG in nuclear power plant can provide operation support to operators, so as to guarantee the safe and stable operation of the system.
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2013 21st International Conference on Nuclear Engineering
July 29–August 2, 2013
Chengdu, China
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5580-5
PROCEEDINGS PAPER
Research on Fault Diagnosis Approach Based on the Signed Directed Graph Model for Nuclear Power Plant
Zhen Liu,
Zhen Liu
Harbin Engineering University, Harbin, China
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Yong-kuo Liu,
Yong-kuo Liu
Harbin Engineering University, Harbin, China
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Xiao-tian Wu,
Xiao-tian Wu
Harbin Engineering University, Harbin, China
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Xian Zeng
Xian Zeng
Harbin Engineering University, Harbin, China
Search for other works by this author on:
Zhen Liu
Harbin Engineering University, Harbin, China
Yong-kuo Liu
Harbin Engineering University, Harbin, China
Xiao-tian Wu
Harbin Engineering University, Harbin, China
Xian Zeng
Harbin Engineering University, Harbin, China
Paper No:
ICONE21-15437, V003T06A015; 7 pages
Published Online:
February 7, 2014
Citation
Liu, Z, Liu, Y, Wu, X, & Zeng, X. "Research on Fault Diagnosis Approach Based on the Signed Directed Graph Model for Nuclear Power Plant." Proceedings of the 2013 21st International Conference on Nuclear Engineering. Volume 3: Nuclear Safety and Security; Codes, Standards, Licensing and Regulatory Issues; Computational Fluid Dynamics and Coupled Codes. Chengdu, China. July 29–August 2, 2013. V003T06A015. ASME. https://doi.org/10.1115/ICONE21-15437
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