Research Article
Transmission Line Visual Inspection Method Based on Neural Network Online Learning
@INPROCEEDINGS{10.1007/978-3-031-21161-4_39, author={Zhaohu Zhang and Zan Li and Wen Tang}, title={Transmission Line Visual Inspection Method Based on Neural Network Online Learning}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Neural network Online learning Transmission line Visual inspection}, doi={10.1007/978-3-031-21161-4_39} }- Zhaohu Zhang
Zan Li
Wen Tang
Year: 2023
Transmission Line Visual Inspection Method Based on Neural Network Online Learning
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_39
Abstract
In order to ensure the visual inspection effect of transmission line and improve the accuracy and effectiveness of transmission line visual inspection, a transmission line visual inspection method based on neural network online learning is proposed. The transmission line structure features are collected by neural network, and the online learning transmission line fault state recognition algorithm is combined to realize the online learning transmission line visual detection. The experimental results show that the transmission line visual detection method based on neural network online learning has high accuracy and effectiveness in the practical application process, and its overall operation effect is relatively more stable, which fully meets the research requirements.
