An improved cascade RCNN detection method for key components and defects of transmission lines
C Dong, K Zhang, Z Xie, C Shi - IET Generation, Transmission …, 2023 - Wiley Online Library
Overhead transmission line detection based on deep learning of aerial images taken by
UAVs has been widely investigated. Despite its success, it is limited by several factors …
UAVs has been widely investigated. Despite its success, it is limited by several factors …
SIRN: An iterative reasoning network for transmission lines based on scene prior knowledge
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 …
for their status detection and fault diagnosis. However, due to the limitations of imbalance …
Robust ellipsoid fitting using combination of axial and Sampson distances
M Han, J Kan, G Yang, X Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In random sample consensus (RANSAC), the problem of ellipsoid fitting can be formulated
as a problem of minimization of point-to-model distance, which is realized by maximizing …
as a problem of minimization of point-to-model distance, which is realized by maximizing …
Power‐DETR: end‐to‐end power line defect components detection based on contrastive denoising and hybrid label assignment
Z Xie, C Dong, K Zhang, J Wang, Y Xiao… - IET Generation …, 2024 - Wiley Online Library
Maintenance of power transmission lines is essential for the safe and reliable operation of
the power grid. The use of deep learning‐based networks to improve the performance of …
the power grid. The use of deep learning‐based networks to improve the performance of …
Co-occurrence Object Detection of the Transmission Lines Based on the Cross-Domain Interactive Feature Enhancement
L Zhao, H Qu - IEEE Transactions on Power Delivery, 2023 - ieeexplore.ieee.org
The inspection of the transmission lines is of great significance for the safe and stable
transportation of electric power. However, the small-sized and easily confused objects of …
transportation of electric power. However, the small-sized and easily confused objects of …
Research on the Reconstruction of Galloping Curve of Transmission Line Based on BP Neural Network
H Yin, Q Wu, C Liu, L Xia, C Zhang… - … and Electrical Circuits …, 2023 - ieeexplore.ieee.org
Galloping disasters have extremely bad effects on the operation of transmission lines, and
the realization of galloping prediction is extremely necessary. The study takes the galloping …
the realization of galloping prediction is extremely necessary. The study takes the galloping …