Research on Infrared Image Segmentation of Substation Arrester Based on DeepLabv3+

Author:

Zeng Chuihui,Xie Jun,Li Zhi,Zou Jianming,Jin Shuo,Cao Yangyang

Publisher

Springer Nature Singapore

Reference16 articles.

1. Cong, S., Pu, H., Yao, F.: Review on application of infrared detection technology in state detection of electrical equipment. In: 16th Annual Conference of China Electrotechnical Society, pp. 1254–1261. Springer, Beijing (2022). https://doi.org/10.1007/978-981-19-1870-4_132

2. Tan, Y., Fan, S.: Infrared thermal image recognition of substation equipment based on image enhancement and deep learning. Proc. Chinese Soc. Electrical Eng. 41(23), 7990–7997 (2021). (in Chinese)

3. Xia, C., et al.: Infrared thermography-based diagnostics on power equipment: state-of-the-art. High Voltage 6(03), 387–407 (2021)

4. Zheng, H., Li, J., Liu, Y., Cui, Y., Ping, Y.: Infrared object detection model for power equipment based on improved YOLOv3. Trans. China Electrotechnical Soc. 36(07), 1389–1398(2021). (in Chinese)

5. Li, W., Xie, K., Liao, X., Li, X., Wang, H.: Intelligent diagnosis method of infrared image for transformer equipment based on improved Faster RCNN. Southern Power Syst. Technol. 13(12), 79–84 (2019). (in Chinese)

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