4 papers
High-resolution power equipment recognition based on improved self-attention
Siyi Zhang, Cheng Liu, Xiang Li +4
The current trend of automating inspections at substations has sparked a surge in interest in the field of transformer image recognition. However, due to restrictions in the number…
Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation
Weixi Wang, Xichen Zhong, Xin Li +2
Overhead line inspection greatly benefits from defect recognition using visible light imagery. Addressing the limitations of existing feature extraction techniques and the heavy da…
Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination
Weiying Lin, Che Liu, Xin Zhang +3
Implementing precise detection of oil leaks in peak load equipment through image analysis can significantly enhance inspection quality and ensure the system's safety and reliabilit…
Transmission line condition prediction based on semi-supervised learning
Sizhe Li, Xun Ma, Nan Liu +1
Transmission line state assessment and prediction are of great significance for the rational formulation of operation and maintenance strategy and improvement of operation and main…