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Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
To maintain the reliability, availability, and sustainability of electricity supply, electricity
companies regularly perform visual inspections on their transmission and distribution …
companies regularly perform visual inspections on their transmission and distribution …
[HTML][HTML] Remote sensing methods for power line corridor surveys
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 …
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
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 …
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 …
catenary and earth. Due to the long-term impact of railway vehicles and the environment …
UAV-lidar aids automatic intelligent powerline inspection
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 …
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 …
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
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 …
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
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 …
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 …
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 …
in fault diagnosis of substation equipment. The rapid and accurate detection of substation …