Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

R Jenssen, D Roverso - International Journal of Electrical Power & …, 2018 - Elsevier
To maintain the reliability, availability, and sustainability of electricity supply, electricity
companies regularly perform visual inspections on their transmission and distribution …

[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 …

Detection of power line insulator defects using aerial images analyzed with convolutional neural networks

X Tao, D Zhang, Z Wang, X Liu… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
As the failure of power line insulators leads to the failure of power transmission systems, an
insulator inspection system based on an aerial platform is widely used. Insulator defect …

Deep architecture for high-speed railway insulator surface defect detection: Denoising autoencoder with multitask learning

G Kang, S Gao, L Yu, D Zhang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The insulator is an important catenary component that maintains the insulation between the
catenary and earth. Due to the long-term impact of railway vehicles and the environment …

UAV-lidar aids automatic intelligent powerline inspection

H Guan, X Sun, Y Su, T Hu, H Wang, H Wang… - International Journal of …, 2021 - Elsevier
In recent decades, a substantial increase in electricity demand has put pressure on
powerline systems to ensure an uninterrupted power supply. In order to prevent power …

InsuDet: A fault detection method for insulators of overhead transmission lines using convolutional neural networks

X Zhang, Y Zhang, J Liu, C Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
One of the key tasks of the overhead line power equipment inspection based on aerial
images acquired by unmanned aerial vehicles is to determine whether the insulators are …

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 …

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 …

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 …

PEDNet: A lightweight detection network of power equipment in infrared image based on YOLOv4-tiny

J Li, Y Xu, K Nie, B Cao, S Zuo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a promising and noncontact detection technique, machine vision has been widely used
in fault diagnosis of substation equipment. The rapid and accurate detection of substation …