Research on Image Determination Method of Hydrophobicity Distribution of Composite Insulator Based on Convolutional Neural Network

Author:

Nie Lin,Zhang Hu,Wang Yuqing,Liu Fei,Chen Rou

Publisher

Springer Nature Singapore

Reference16 articles.

1. Lu, M., Li, Y.Y., Hu, J.L., et al.: Influence of sheds damage on the AC pollution flashover performance of different voltage class composite insulators. IEEE Access 8, 84713–84719 (2020)

2. Yu, H., Zhang, Q., Li, C.N., et al.: Influence of natural aging on property of solid silicone rubber. New Chem. Mater. 29(07), 111–115 (2021). (in Chinese)

3. Bi, X.T., Shao, S.C., Tao, F.B., et al.: Study on corrosion aging characteristics of composite insulator in special industrial dust areas. High Volt. Appar. 57(12), 25–32+41 (2021). (in Chinese)

4. Zeng, L.L., Zhang, Y., Zeng, X., et al.: Aging state evaluation methods for silicone rubber sheds of composite insulators. Insulators Surge Arresters (02), 139–145+152 (2022). (in Chinese)

5. Yuan, T., Zhang, R., Zhang, Q., et al.: The discussion about the estimation against the hydrophobicity of operational composite insulators. Insulators and Surge Arresters (04), 15–22 (2013). (in Chinese)

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