Detection and Segmentation of Overhead Transmission Line Icing Conductor Based on Improved YOLOv5-Reference-Cited by-同舟云学术

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Detection and Segmentation of Overhead Transmission Line Icing Conductor Based on Improved YOLOv5

Published:2023-11-24 Issue: Volume:61 Page:917-920
ISSN:
Container-title:2023 3rd International Conference on New Energy and Power Engineering (ICNEPE)
language:
Short-container-title:

Author:

He Jian¹,Li Te¹,Wang Zhenguo¹,Cao Junping¹,Chen Ling²,Lian Yunfei²,Liu Fanglin³,Jiao Jiange³

Affiliation:

1. State Grid Zhejiang Electric Power Research Institute,Hangzhou,China,310014

2. Zhejiang HuaDian Equipment Testing and Research Institute Co, Ltd,Hangzhou,China,311121

3. China Jiliang University,College of Mechanical and Electrical Engineering,Hangzhou,Zhejiang,China,310018

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428934/10429048/10429575.pdf?arnumber=10429575

Reference12 articles.

1. Automatic recognition and parametric description method of icing shapes on transmission line.[J];Wenjuan;Journal of Dalian University of Technology,2021

2. Analysis of large-scale transmission line icing and galloping event in the Jilin province during November 2020 [C]//Science and Engineering Research Center;Xu

3. Machine learning-based ice detection approach for power transmission lines by utilizing FBG micro-meteorological sensors

4. Establishment and Application of Management Evaluation System for Transmission Line Icing Monitoring Terminal [J];Qiang

5. Survey on Machine Learning and Deep Learning Techniques for Agriculture Land

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