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

doi:10.1016/j.anucene.2019.107274

	A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant
	Yao, Yuantao 1,2; Wang, Jin 1; Xie, Min 3; Hu, Liqin 1; Wang, Jianye 1
刊名	ANNALS OF NUCLEAR ENERGY
	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
DOI	10.1016/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.
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关键词	CONCEPTUAL DESIGN ; ROBUST ; CLASSIFIER
WOS研究方向	Nuclear Science & Technology
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000526111300007
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
内容类型	期刊论文
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.Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China 3.City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, 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).