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 …

An automated defect detection method for optimizing industrial quality inspection

C Wang, X Wei, X Jiang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Detecting defects in industrial-quality inspection is an important task, but defect detection
remains challenging due to limited size, various types of defects, and imbalanced samples …

SOD-YOLO: A High-Precision Detection of Small Targets on High-Voltage Transmission Lines

K Wu, Y Chen, Y Lu, Z Yang, J Yuan, E Zheng - Electronics, 2024 - mdpi.com
Wire clamps and vibration-proof hammers are key components of high-voltage transmission
lines. The wire clips and vibration-proof hammers detected in Unmanned Aerial Vehicle …

Efficient parcel damage detection via faster r-cnn: A deep learning approach for logistical parcels' automated inspection

Z Chen, C Du, Q Guan, Y Zhou, V Hoo, X Huang… - … Conference on Mobile …, 2023 - Springer
Parcel damage detection poses a significant challenge in warehouse automation and
conveyor belt transportation, with a particular focus on leveraging the potential of Internet of …

Bird's nest defect detection of transmission lines based on domain knowledge and occlusion reasoning

N Dong, W Zhang, Z Chen, H Feng… - IET Generation …, 2023 - Wiley Online Library
Bird's nest defect is an important cause of transmission line faults. To achieve accurate
detection of bird nest defects in complex scenarios, a bird nest defect detection model for …

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 …

[HTML][HTML] Application of End-to-End Perception Framework Based on Boosted DETR in UAV Inspection of Overhead Transmission Lines

J Wang, L Jin, Y Li, P Cao - Drones, 2024 - mdpi.com
As crucial predecessor tasks for fault detection and transmission line inspection, insulators,
anti-vibration hammers, and arc sag detection are critical jobs. Due to the complexity of the …

Research on missing bolt sub-detection based on real-ESRGAN super-resolution reconstruction

H Lv, A Zhao, Y Wang, H Li, Y Li… - 2023 4th International …, 2023 - ieeexplore.ieee.org
The bolt structure is one of the important accessories in the transmission line. Bolts and their
missing pins account for a very small proportion of the image and the image definition is not …

Machine learning approaches for automatic defect detection in photovoltaic systems

SR Mohanty, MU Maruf, V Singh, Z Ahmad - arXiv preprint arXiv …, 2024 - arxiv.org
Solar photovoltaic (PV) modules are prone to damage during manufacturing, installation and
operation which reduces their power conversion efficiency. This diminishes their positive …

A bolt defect detection method for transmission lines based on improved YOLOv5

H Zou, J Sun, Z Ye, J Yang, C Yang, F Li… - Frontiers in Energy …, 2024 - frontiersin.org
To solve the problem of bolt defects in unmanned aerial vehicle inspection that are difficult to
identify quickly and accurately, this paper proposes a defect detection method based on the …