This paper proposes a data-driven fault detection approach for nuclear power plant. The approach starts from input and output (I/O) data obtained from operating data of industrial process. Due to the model is not explicitly appeared, the proposed approach is named as implicit model approach (IMA). Residual generator is obtained directly from I/O data rather than from the mechanism, based which the algorithm of IMA-based fault detection is proposed. The main advantage of IMA-based fault detection is that it can circumvent complicated model identification. The approach generates parameterized matrices of residual signal inspired by subspace relevant technology without any prior knowledge about mechanisms of the plant. Fault information has been injected to a simulating platform of a compact reactor in the simulation part, by which we verify the effectiveness of IMA-based fault detection.
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2018 26th International Conference on Nuclear Engineering
July 22–26, 2018
London, England
Conference Sponsors:
- Nuclear Engineering Division
ISBN:
978-0-7918-5146-3
PROCEEDINGS PAPER
Data-Driven Fault Diagnosis for Nuclear Power Plant: The Implicit Model Approach
Zhaoxu Chen,
Zhaoxu Chen
Wuhan Second Ship Design and Research Institute, Wuhan, China
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Xianling Li,
Xianling Li
Wuhan Second Ship Design and Research Institute, Wuhan, China
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Zhiwu Ke,
Zhiwu Ke
Wuhan Second Ship Design and Research Institute, Wuhan, China
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Mo Tao,
Mo Tao
Wuhan Second Ship Design and Research Institute, Wuhan, China
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Yi Feng
Yi Feng
Wuhan Second Ship Design and Research Institute, Wuhan, China
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Zhaoxu Chen
Wuhan Second Ship Design and Research Institute, Wuhan, China
Xianling Li
Wuhan Second Ship Design and Research Institute, Wuhan, China
Zhiwu Ke
Wuhan Second Ship Design and Research Institute, Wuhan, China
Mo Tao
Wuhan Second Ship Design and Research Institute, Wuhan, China
Yi Feng
Wuhan Second Ship Design and Research Institute, Wuhan, China
Paper No:
ICONE26-82473, V004T06A043; 6 pages
Published Online:
October 24, 2018
Citation
Chen, Z, Li, X, Ke, Z, Tao, M, & Feng, Y. "Data-Driven Fault Diagnosis for Nuclear Power Plant: The Implicit Model Approach." Proceedings of the 2018 26th International Conference on Nuclear Engineering. Volume 4: Nuclear Safety, Security, and Cyber Security; Computer Code Verification and Validation. London, England. July 22–26, 2018. V004T06A043. ASME. https://doi.org/10.1115/ICONE26-82473
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