A review on state-of-the-art power line inspection techniques

L Yang, J Fan, Y Liu, E Li, J Peng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the fast development of smart grid, the power line mileage and power equipments get
rapid growth. The contradiction between the large number of maintenance equipments and …

A systematic review of object detection from images using deep learning

J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Detection of transmission line insulator defects based on an improved lightweight YOLOv4 model

Z Qiu, X Zhu, C Liao, D Shi, W Qu - Applied Sciences, 2022 - mdpi.com
Defective insulators seriously threaten the safe operation of transmission lines. This paper
proposes an insulator defect detection method based on an improved YOLOv4 algorithm. An …

Detection of foreign objects intrusion into transmission lines using diverse generation model

Y Wu, S Zhao, Z **ng, Z Wei, Y Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Foreign objects intrusion into transmission lines can lead to serious troubles, using deep
learning technology for foreign object detection has good performance and can reduce …

EBSE-YOLO: high precision recognition algorithm for small target foreign object detection

S Wang, Y Wang, Y Chang, R Zhao, Y She - IEEE Access, 2023 - ieeexplore.ieee.org
For the complex background along the electrified railroad, there are problems such as
missed detection and false detection of invasive small target foreign objects. A high …

Research on recognition method of electrical components based on FEYOLOv4-tiny

J Gao, H Sun, J Han, Q Sun, T Zhong - Journal of Electrical Engineering & …, 2022 - Springer
Recently, electrical component recognition technology is of great significance for fault
identification and stable operation of the modern power grids. With the rapid improvement of …

DSA-Net: An attention-guided network for real-time defect detection of transmission line dampers applied to UAV inspections

Y Zhang, B Li, J Shang, X Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a crucial component in power transmission lines, structural defects in dampers can
significantly reduce their ability to suppress wire vibrations, posing a serious threat to the …

An improved YOLOv3 for foreign objects detection of transmission lines

H Li, L Liu, J Du, F Jiang, F Guo, Q Hu, L Fan - IEEE Access, 2022 - ieeexplore.ieee.org
The surrounding of transmission lines is complex, large-scale construction machinery, and
smoke and fire pose threats to the circuit facilities and wires. When anomaly occurs, much …

Predicting wind-caused floater intrusion risk for overhead contact lines based on Bayesian neural network with spatiotemporal correlation analysis

J Wang, S Gao, L Yu, D Zhang, C Ding, K Chen… - Reliability Engineering & …, 2022 - Elsevier
Wind-caused floater intrusion has posed enormous threats to the safety and resilience of
overhead contact lines (OCLs) of electrified railway. In this paper, a Bayesian neural network …

[HTML][HTML] YOLO-CSM-based component defect and foreign object detection in overhead transmission lines

C Liu, L Ma, X Sui, N Guo, F Yang, X Yang, Y Huang… - Electronics, 2023 - mdpi.com
Detecting component defects and attaching tiny-scaled foreign objects to the overhead
transmission lines are critical to the national grid's safe operation and power distribution …