An ultra-lightweight and ultra-fast abnormal target identification network for transmission line

J Zhang, J Wang, S Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The faults caused by abnormal transmission line targets have become the main reason for
the outage of transmission lines. This has brought great economic losses to society. At …

SIRN: An iterative reasoning network for transmission lines based on scene prior knowledge

Q Wang, C Guo, Z Zhao, Y Wang, L Hu… - Engineering Applications of …, 2023 - Elsevier
High-accuracy positioning and identification of transmission line components is the premise
for their status detection and fault diagnosis. However, due to the limitations of imbalance …

Key target and defect detection of high-voltage power transmission lines with deep learning

Z Liu, G Wu, W He, F Fan, X Ye - International Journal of Electrical Power & …, 2022 - Elsevier
Automatic visual detection of key targets and defects for power transmission lines based on
power transmission line inspection robots (PTLIR) and unmanned aerial vehicles (UAVs) is …

Multi-target defect intelligent recognition of transmission line based on improved Faster-RCNN

Z Zhouhua, M Shixia, Z Tianyi - 2021 IEEE 4th International …, 2021 - ieeexplore.ieee.org
In order to achieve rapid and accurate recognition of a large number of images of
transmission line, and improve the ability to detect defects, according to the characteristics of …

Transmission line defect detection based on feature enhancement

T Su, D Liu - Multimedia Tools and Applications, 2024 - Springer
Defects in power transmission lines affect the safety operation of devices and the reliability
of power supply. Automatic visual detection of defects for power transmission lines is an …

[HTML][HTML] Defect detection scheme for key equipment of transmission line for complex environment

J Wang, F Deng, B Wei - Electronics, 2022 - mdpi.com
Aiming at the difficulty in detecting defects of key equipment of transmission lines in small
samples and complex environments, and the problems of low accuracy and unreliability in …

AE-FPN: adaptive enhance feature learning for detecting wire defects

H Zhang, J Du, C Xie, J Zhang, S Qian, R Li - Signal, Image and Video …, 2023 - Springer
Wire defects usually occur in high-altitude transmission lines, leading to line transmission
failures and even the possibility of large-scale power outages. Therefore, timely and …

[HTML][HTML] High precision detection algorithm based on improved RetinaNet for defect recognition of transmission lines

J Liu, R Jia, W Li, F Ma, HM Abdullah, H Ma… - Energy Reports, 2020 - Elsevier
Abstract The Unmanned Aerial Vehicle (UAV) inspection mode has been gradually
implemented in the power system. The UAV inspection image is checked by the target …

An improved AlexNet for power edge transmission line anomaly detection

Y Guo, Z Pang, J Du, F Jiang, Q Hu - IEEE Access, 2020 - ieeexplore.ieee.org
Since most outdoor transmission line equipment suffers from harsh disasters, they are prone
to wire breakage, tower collapse and insulator flashover. When anomaly occurs, too much …

Typical defect detection technology of transmission line based on deep learning

W Wanguo, W Zhenli, L Bin, Y Yuechen… - 2019 Chinese …, 2019 - ieeexplore.ieee.org
Detection of line component defects in UAV transmission line inspection is always a difficult
problem. In order to solve the problem of identifying the defects of insulators and anti …