Multi-Defect Detection Network for High-Voltage Insulators Based on Adaptive Multi-Attention Fusion

Y Hu, B Wen, Y Ye, C Yang - Applied Sciences, 2023 - mdpi.com
Insulators find extensive use across diverse facets of power systems, playing a pivotal role in
ensuring the security and stability of electrical transmission. Detecting insulators is a …

Novel feature fusion module-based detector for small insulator defect detection

Z Gao, G Yang, E Li, Z Liang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The failure of an insulator may compromise the safety of the entire power transmission
system. Therefore, insulator defect detection is vital for the safe operation of power systems …

Insulator defect detection with deep learning: A survey

Y Liu, D Liu, X Huang, C Li - IET Generation, Transmission & …, 2023 - Wiley Online Library
With the improvement of smart grid, utilizing unmanned aerial vehicles (UAV) to detect the
operation status of insulators has attracted widespread attention. The insulator defects can …

Segmentation head networks with harnessing self-attention and transformer for insulator surface defect detection

J Guo, T Li, B Du - Applied Sciences, 2023 - mdpi.com
Current methodologies for insulator defect detection are hindered by limitations in real-world
applicability, spatial constraints, high computational demand, and segmentation challenges …

Study on power line insulator defect detection via improved faster region-based convolutional neural network

GP Liao, GJ Yang, WT Tong, W Gao… - 2019 IEEE 7th …, 2019 - ieeexplore.ieee.org
Machine learning based on hand-crafted features from the original aerial insulator image
has shown promising results in the insulator defect detection in recent years. Such …

[HTML][HTML] Discriminative features based comprehensive detector for defective insulators

Y Li, X Zhu, B Li, J Zeng, S Wang - Energy and AI, 2024 - Elsevier
Insulators are essential equipment to ensure the safety and reliability of power transmission
systems. Defective insulators may cause partial discharge and even lead to serious safety …

Occluded Insulator Detection System Based on YOLOX of Multi-Scale Feature Fusion

B Luo, J Xiao, G Zhu, X Fang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a special insulation control, insulators protect transmission lines. In the process of
detecting insulators by UAV, locating the insulators is a prerequisite for defect detection …

Automatic insulator detection for power line using aerial images powered by convolutional neural networks

J Tan - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The inspection and fault diagnosis of power transmission line via aerial images is becoming
widely used in smart grids and electrical power systems. However, the accuracy of detecting …

MTI-YOLO: A light-weight and real-time deep neural network for insulator detection in complex aerial images

C Liu, Y Wu, J Liu, J Han - Energies, 2021 - mdpi.com
Insulator detection is an essential task for the safety and reliable operation of intelligent
grids. Owing to insulator images including various background interferences, most …

Efficient Cross-Modality Insulator Augmentation for Multi-Domain Insulator Defect Detection in UAV Images

Y Liu, X Huang - Sensors, 2024 - mdpi.com
Regular inspection of the insulator operating status is essential to ensure the safe and stable
operation of the power system. Unmanned aerial vehicle (UAV) inspection has played an …