Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network

doi:10.3390/en15093127

HFCAS OpenIR

	Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network
	Chen, Hui 1,2; Wang, Junjia1 ; Hu, Hejun 1,2; Li, Xiaofeng 1,2; Huang, Yiyun1
	2022-05-01
发表期刊	ENERGIES
通讯作者	Huang, Yiyun(yyhuang@ipp.ac.cn)
摘要	To detect the aging of power cables in the TOKAMAK power supply systems, this paper proposed a deep neural network diagnosis model and algorithm for power cable aging, based on logistic regression according to the characteristics of different high-order harmonics generated by different aging parts of the power cable. The experimental results showed that the model has high diagnostic accuracy, and the average error is only 2.35%. The method proposed in this paper has certain application potential in the CFETR power cable auxiliary monitoring system.
关键词	TOKAMAK cable aging CFETR high harmonic content deep neural network
DOI	10.3390/en15093127
关键词[WOS]	FAULT-DIAGNOSIS
收录类别	SCI
语种	英语
资助项目	Comprehensive Research Facility For Fusion Technology Program Of China[2018-000052-73-01-001228] ; Hefei Institutes Of Physical Science Fund, Chinese Academy Of Sciences[Yzjj2021qn16]
项目资助者	Comprehensive Research Facility For Fusion Technology Program Of China ; Hefei Institutes Of Physical Science Fund, Chinese Academy Of Sciences
WOS研究方向	Energy & Fuels
WOS类目	Energy & Fuels
WOS记录号	WOS:000794498000001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/130850
专题	中国科学院合肥物质科学研究院
通讯作者	Huang, Yiyun
作者单位	1.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China 2.USTC, Scinece Isl Branch, Grad Sch, Hefei 230026, Peoples R China
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	Chen, Hui,Wang, Junjia,Hu, Hejun,et al. Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network[J]. ENERGIES,2022,15.
APA	Chen, Hui,Wang, Junjia,Hu, Hejun,Li, Xiaofeng,&Huang, Yiyun.(2022).Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network.ENERGIES,15.
MLA	Chen, Hui,et al."Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network".ENERGIES 15(2022).