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 …

Insulator and damage detection and location based on YOLOv5

Q Li, F Zhao, Z Xu, J Wang, K Liu… - … Conference on Power …, 2022 - ieeexplore.ieee.org
In order to quickly and accurately detect and locate the insulator and its damage in the
transmission line, by studying the YOLO (you only look once) series target detection …

Electrical insulator defects detection method based on yolov5

Z Feng, L Guo, D Huang, R Li - 2021 IEEE 10th Data Driven …, 2021 - ieeexplore.ieee.org
For electrical transmission lines, insulator inspection is an important indicator for power
system safety operation. Manual visual inspection activities are usually performed in …

Insulator-defect detection algorithm based on improved YOLOv7

J Zheng, H Wu, H Zhang, Z Wang, W Xu - Sensors, 2022 - mdpi.com
Existing detection methods face a huge challenge in identifying insulators with minor defects
when targeting transmission line images with complex backgrounds. To ensure the safe …

An insulator defect detection model in aerial images based on multiscale feature pyramid network

K Hao, G Chen, L Zhao, Z Li, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The faults caused by insulator defects will seriously threaten the operational safety of the
power grid. Therefore, insulator defect detection plays a crucial role in inspecting …

Insulator faults detection in aerial images from high-voltage transmission lines based on deep learning model

C Liu, Y Wu, J Liu, Z Sun, H Xu - Applied Sciences, 2021 - mdpi.com
Insulator fault detection is one of the essential tasks for high-voltage transmission lines'
intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) …

Improved YOLOv3 network for insulator detection in aerial images with diverse background interference

C Liu, Y Wu, J Liu, Z Sun - Electronics, 2021 - mdpi.com
Automatic inspection of insulators from high-voltage transmission lines is of paramount
importance to the safety and reliable operation of the power grid. Due to different size …

[HTML][HTML] Insulator detection and damage identification based on improved lightweight YOLOv4 network

G Han, M He, F Zhao, Z Xu, M Zhang, L Qin - Energy Reports, 2021 - Elsevier
Aiming at the problem that the detection and damage recognition algorithm of insulator
aerial images is difficult to be applied to the embedded platform, this paper proposed an …

Research on automatic location and recognition of insulators in substation based on YOLOv3

Y Liu, X Ji, S Pei, Z Ma, G Zhang, Y Lin, Y Chen - High Voltage, 2020 - Wiley Online Library
With the development of a smart grid, the automatic location of power equipment is
becoming a trend. In this study, a method for automatic location identification and diagnosis …

An improved method based on deep learning for insulator fault detection in diverse aerial images

J Liu, C Liu, Y Wu, H Xu, Z Sun - Energies, 2021 - mdpi.com
Insulators play a significant role in high-voltage transmission lines, and detecting insulator
faults timely and accurately is important for the safe and stable operation of power grids …