Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM

doi:10.1016/j.fusengdes.2022.113321

HFCAS OpenIR

	Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM
	Guo, Xinpeng 1,2; Lu, Kun1 ; Cheng, Yong1 ; Zhao, Wenlong1 ; Wu, Huapeng 3; Li, Dongyi 1,2; Li, Junwei 1,2; Yang, Songzhu 1; Zhang, Yu 1
	2022-12-01
发表期刊	FUSION ENGINEERING AND DESIGN
ISSN	0920-3796
通讯作者	Cheng, Yong(chengyong@ipp.ac.cn)
摘要	Conducting fault diagnosis on the hydraulic system of the blanket transfer device Mover in the Chinese Fusion Engineering Test Reactor (CFETR) is a key technical issue that needs to be addressed urgently. In this article, a CNN (Convolutional Neural Networks)-LSTM (Long Short-Term Memory) deep learning model-based method is proposed for fault diagnosis, combining the advantages of feature extraction of the CNN model with the ad-vantages of the LSTM model for time series data processing. Therefore, this model shows a " multi-perspective" property, greatly improving its ability to extract features from data. In the fault diagnosis experiment under the condition of four typical faults, the proposed model has the highest accuracy of 98.56% on the test set and good efficiency in computation time compared to the other three models. This method provides some insights for future research on the Prognostics and Health Management (PHM) of the Mover's hydraulic system and the CFETR's remote handling intelligent operational decision system.
关键词	CFETR Hydraulic system Fault simulation Fault diagnosis CNN-LSTM
DOI	10.1016/j.fusengdes.2022.113321
关键词[WOS]	CONCEPT DESIGN ; RELIABILITY ; MAINTENANCE ; TURBINE
收录类别	SCI
语种	英语
资助项目	Comprehensive Research Facility for Fusion Technology program of China ; Anhui Extreme Environment Robot Engineering Laboratory ; [2018-000052-73-01-001228]
项目资助者	Comprehensive Research Facility for Fusion Technology program of China ; Anhui Extreme Environment Robot Engineering Laboratory
WOS研究方向	Nuclear Science & Technology
WOS类目	Nuclear Science & Technology
WOS记录号	WOS:000877339400001
出版者	ELSEVIER SCIENCE SA
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/130034
专题	中国科学院合肥物质科学研究院
通讯作者	Cheng, Yong
作者单位	1.Chinese Acad Sci, Inst Plasma Phys, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China 3.Lappeenranta Univ Technol, Lappeenranta, Finland
第一作者单位	中科院等离子体物理研究所
通讯作者单位	中科院等离子体物理研究所
推荐引用方式 GB/T 7714	Guo, Xinpeng,Lu, Kun,Cheng, Yong,et al. Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM[J]. FUSION ENGINEERING AND DESIGN,2022,185.
APA	Guo, Xinpeng.,Lu, Kun.,Cheng, Yong.,Zhao, Wenlong.,Wu, Huapeng.,...&Zhang, Yu.(2022).Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM.FUSION ENGINEERING AND DESIGN,185.
MLA	Guo, Xinpeng,et al."Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM".FUSION ENGINEERING AND DESIGN 185(2022).