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A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant

文献类型：期刊论文

作者Yao, Yuantao1,3; Wang, Jin1; Xie, Min2; Hu, Liqin1; Wang, Jianye1
刊名ANNALS OF NUCLEAR ENERGY
出版日期2020-06-15
卷号141
关键词NPP Fault diagnosis State information imaging Machine learning Kernel principal component analysis F1 score
ISSN号0306-4549
DOI10.1016/j.anucene.2019.107274
通讯作者Wang, Jin(jin.wang@fds.org.cn)
英文摘要In this paper, a new approach aimed at the Fault Diagnosis with Full-scope Simulator based on the State Information Imaging (FDFSSII) in NPP is proposed. The FDFSSII approach first constructs a series of grayimage which presents the operating transient (included normal and fault condition) according to the real time monitoring data. Furthermore, the Machine Learning (ML) technology is employed to achieve image feature extraction and classification by analyzing and learning from massive amounts of historical and synthetic gray-image data - the image feature is extracted by the Kernel Principal Component Analysis (KPCA) and classified by the designed classifiers in different learning methods. Finally, diagnosis effect is evaluated by the F1 score. The simulation result shows that the FDFSSII approach has achieved good effect for the fault diagnosis in NPP. Meanwhile, it simplifies the process of nuclear reactor with the large monitoring data and provides useful support information to the operators. (C) 2019 Elsevier Ltd. All rights reserved.
WOS关键词CONCEPTUAL DESIGN ; ROBUST ; CLASSIFIER
资助项目Anhui foreign science and technology cooperation project[201904b11020046] ; National Natural Science Foundation of China (NSFC)[71671179] ; National Magnetic Confinement Fusion Science Program of China[2015GB116000] ; Informatization Project of Chinese Academy of Science[XXH13506-104] ; Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences
WOS研究方向Nuclear Science & Technology
语种英语
WOS记录号WOS:000526111300007
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构Anhui foreign science and technology cooperation project ; National Natural Science Foundation of China (NSFC) ; National Magnetic Confinement Fusion Science Program of China ; Informatization Project of Chinese Academy of Science ; Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/103355]  
专题中国科学院合肥物质科学研究院
通讯作者Wang, Jin
作者单位1.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Key Lab Neutron & Radiat Safety, Hefei 230031, Anhui, Peoples R China
2.City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
3.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China
推荐引用方式
GB/T 7714		 Yao, Yuantao,Wang, Jin,Xie, Min,et al. A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant[J]. ANNALS OF NUCLEAR ENERGY,2020,141.
APA Yao, Yuantao,Wang, Jin,Xie, Min,Hu, Liqin,&Wang, Jianye.(2020).A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant.ANNALS OF NUCLEAR ENERGY,141.
MLA Yao, Yuantao,et al."A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant".ANNALS OF NUCLEAR ENERGY 141(2020).

入库方式： OAI收割

来源：合肥物质科学研究院

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