[HTML][HTML] Remote sensing methods for power line corridor surveys

L Matikainen, M Lehtomäki, E Ahokas, J Hyyppä… - ISPRS Journal of …, 2016 - Elsevier
To secure uninterrupted distribution of electricity, effective monitoring and maintenance of
power lines are needed. This literature review article aims to give a wide overview of the …

Summary of insulator defect detection based on deep learning

J Liu, MM Hu, JY Dong, X Lu - Electric Power Systems Research, 2023 - Elsevier
Insulator is a kind of key electrical equipment in transmission line. Its long-term operation in
strong electric field, high temperature sunshine, mechanical stress, humidity, dirt and other …

[PDF][PDF] 基于深度学习的输电线路视觉检测方法研究进展

刘传洋, 吴一全 - 中国电机工程学报, 2023 - epjournal.csee.org.cn
基于深度学习的输电线路视觉检测方法研究进展 Page 1 第43 卷第19 期 中国电机工程学报 Vol.43
No.19 Oct. 5, 2023 2023 年10 月5 日 Proceedings of the CSEE ©2023 Chin.Soc.for Elec.Eng …

Insulator detection in aerial images for transmission line inspection using single shot multibox detector

X Miao, X Liu, J Chen, S Zhuang, J Fan, H Jiang - Ieee Access, 2019 - ieeexplore.ieee.org
The detection of insulators with cluttered backgrounds in aerial images is a challenging task
for an automatic transmission line inspection system. In this paper, we propose an effective …

A defect detection method based on BC-YOLO for transmission line components in UAV remote sensing images

W Bao, X Du, N Wang, M Yuan, X Yang - Remote Sensing, 2022 - mdpi.com
Vibration dampers and insulators are important components of transmission lines, and it is
therefore important for the normal operation of transmission lines to detect defects in these …

Intelligent fault detection of high voltage line based on the Faster R-CNN

X Lei, Z Sui - Measurement, 2019 - Elsevier
To realize intelligent fault detection of high voltage line, a deep convolution neural network
method based on Faster R-CNN method is proposed to locate the broken insulators and bird …

Deep learning approaches on defect detection in high resolution aerial images of insulators

Q Wen, Z Luo, R Chen, Y Yang, G Li - Sensors, 2021 - mdpi.com
By detecting the defect location in high-resolution insulator images collected by unmanned
aerial vehicle (UAV) in various environments, the occurrence of power failure can be timely …

An accurate and real-time method of self-blast glass insulator location based on faster R-CNN and U-net with aerial images

Z Ling, D Zhang, RC Qiu, Z Jin, Y Zhang… - CSEE Journal of …, 2019 - ieeexplore.ieee.org
This paper proposes a new deep learning framework for the location of broken insulators (in
particular the self-blast glass insulator) in aerial images. We address the broken insulators …

Inspection and identification of transmission line insulator breakdown based on deep learning using aerial images

MDF Ahmed, JC Mohanta, A Sanyal - Electric Power Systems Research, 2022 - Elsevier
The traditional methods of overhead power transmission line inspections are mostly
unsuited as the height of transmission towers is too high and wide. Detection and inspection …

[PDF][PDF] 基于深度卷积神经网络的输电线路防鸟刺部件识别与故障检测

缪希仁, 林志成, 江灏, 陈静, 刘欣宇, 庄胜斌 - 电网技术, 2021 - epjournal.csee.org.cn
The early fault detection of anti-bird thorns on electrical towers is of great significance for
reducing the occurrence of bird-damages and ensuring the safe and reliable operation of …