A Semantic Segmentation Method for Buffer Layer Defect Detection in High Voltage Cable

Zhang Jun; Duan Xiaoli; Xie Yi; Duan Jianjia; Huang Fuyong; Zeng Zeyu

doi:10.1051/e3sconf/202123301032

All issues

Volume 233 (2021)

E3S Web Conf., 233 (2021) 01032

References

Open Access

Issue		E3S Web Conf. Volume 233, 2021 2020 2^nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)


Article Number		01032
Number of page(s)		4
Section		NESEE2020-New Energy Science and Environmental Engineering
DOI		https://doi.org/10.1051/e3sconf/202123301032
Published online		27 January 2021

Li Lin, Yan Bo, Zhou Zhangbin, et al. Analysis of the fault cause of 110kV cable body. Electric World, 60(05):11-15. (2019) [Google Scholar]
Li Chenying, Li Hongze, Chen Jie, et al. Analysis of High Voltage XLPE Power Cable Buffer Layer Discharge Problem. Electric Power Engineering Technology, 37(02):61-66. (2016) [Google Scholar]
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Zhang Weiwei, YAN Youxiang, WANG Lei, et al. Physical and Chemical Analysis and Simulation Study on Discharge Burn Defect of Buffer Layer in 110 kV XLPE Cable. High Voltage Apparatus, 56(05):155-162. (2020) [Google Scholar]
Long, J., Shelhamer, E., Darrell, T. Fully convolutional networks for semantic segmentation. Computer vision and pattern recognition. 3431-3440. (2015) [Google Scholar]
Lecun, Y., Bottou, L. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324. (1998) [CrossRef] [Google Scholar]
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[1] Li Lin, Yan Bo, Zhou Zhangbin, et al. Analysis of the fault cause of 110kV cable body. Electric World, 60(05):11-15. (2019) [Google Scholar]

[2] Li Chenying, Li Hongze, Chen Jie, et al. Analysis of High Voltage XLPE Power Cable Buffer Layer Discharge Problem. Electric Power Engineering Technology, 37(02):61-66. (2016) [Google Scholar]

[3] Yang Fan, Zhu Ningxi, Liu Xiaodong, et al. Experiment and Analysis of Evaluating Buffer Layer Gap Condition of Cable Based on Impedance. Guangdong Electric Power, 31(12):93-98. (2012) [Google Scholar]

[4] Deng Shenghua, Jiang Fuzhang, Liu Heping, et al. Research on Materials and Structural Characteristics of Buffer Layers for High Voltage Cable. Electric Wire & Cable, 02:19-27. (2019) [Google Scholar]

[5] Zhang Weiwei, YAN Youxiang, WANG Lei, et al. Physical and Chemical Analysis and Simulation Study on Discharge Burn Defect of Buffer Layer in 110 kV XLPE Cable. High Voltage Apparatus, 56(05):155-162. (2020) [Google Scholar]

[6] Long, J., Shelhamer, E., Darrell, T. Fully convolutional networks for semantic segmentation. Computer vision and pattern recognition. 3431-3440. (2015) [Google Scholar]

[7] Lecun, Y., Bottou, L. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324. (1998) [CrossRef] [Google Scholar]

[8] Simonyan, K. and Zisserman, A. Very Deep Convolutional Networks for Large-Scale Image Recognition. Computer Science, arXiv:1409.1556. (2014) [Google Scholar]