Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network | |
Chen, Hui1,2; Wang, Junjia2; Hu, Hejun1,2; Li, Xiaofeng1,2; Huang, Yiyun2 | |
刊名 | ENERGIES |
2022-05-01 | |
卷号 | 15 |
关键词 | TOKAMAK cable aging CFETR high harmonic content deep neural network |
DOI | 10.3390/en15093127 |
通讯作者 | Huang, Yiyun(yyhuang@ipp.ac.cn) |
英文摘要 | 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. |
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] |
WOS关键词 | FAULT-DIAGNOSIS |
WOS研究方向 | Energy & Fuels |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000794498000001 |
资助机构 | Comprehensive Research Facility For Fusion Technology Program Of China ; Hefei Institutes Of Physical Science Fund, Chinese Academy Of Sciences |
内容类型 | 期刊论文 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/130849] |
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.USTC, Scinece Isl Branch, Grad Sch, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China |
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). |
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