Summary of insulator defect detection based on deep learning

J Liu, MM Hu, JY Dong, X Lu - Electric Power Systems Research, 2023 - Elsevier
Insulator is a kind of key electrical equipment in transmission line. Its long-term operation in
strong electric field, high temperature sunshine, mechanical stress, humidity, dirt and other …

Comparing YOLOv3, YOLOv4 and YOLOv5 for autonomous landing spot detection in faulty UAVs

U Nepal, H Eslamiat - Sensors, 2022 - mdpi.com
In-flight system failure is one of the major safety concerns in the operation of unmanned
aerial vehicles (UAVs) in urban environments. To address this concern, a safety framework …

[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV

BJ Souza, SF Stefenon, G Singh, RZ Freire - International Journal of …, 2023 - Elsevier
Transmission power lines are essential to supply electrical energy to consumption centers.
Keeping a reliable transmission system requires the early identification of faults. Image …

Pavement crack detection method based on deep learning models

GX Hu, BL Hu, Z Yang, L Huang… - … and Mobile Computing, 2021 - Wiley Online Library
Severe weather and long‐term driving of vehicles lead to various cracks on asphalt
pavement. If these cracks cannot be found and repaired in time, it will have a negative …

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) …

[HTML][HTML] Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review

AVR Katkuri, H Madan, N Khatri, ASH Abdul-Qawy… - Array, 2024 - Elsevier
The increasing use of unmanned aerial vehicles (UAVs) in both military and civilian
applications, such as infrastructure inspection, package delivery, and recreational activities …

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 …

Application of low-altitude UAV remote sensing image object detection based on improved YOLOv5

Z Li, A Namiki, S Suzuki, Q Wang, T Zhang, W Wang - Applied Sciences, 2022 - mdpi.com
With the development of science and technology, the traditional industrial structures are
constantly being upgraded. As far as drones are concerned, an increasing number of …

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 …

[HTML][HTML] Insulator breakage detection based on improved YOLOv5

G Han, M He, M Gao, J Yu, K Liu, L Qin - Sustainability, 2022 - mdpi.com
Aerial images have complex backgrounds, small targets, and overlapping targets, resulting
in low accuracy of intelligent detection of overhead line insulators. This paper proposes an …