Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring

Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring

Deformation monitoring of Gas-Insulated Transmission Lines (GILs) is critical for the early detection of structural issues and for ensuring safe power transmission. In this study, we introduce a rapid monocular measurement method that leverages deep learning for real-time monitoring. A YOLOv10 model...

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Bibliographic Details
Main Authors: Guiyun Yang, Wengang Yang, Entuo Li, Qinglong Wang, Huilong Han, Jie Sun, Meng Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
gas-insulated transmission lines (GILs)
deep learning
YOLO
monocular measurement
Online Access:https://www.mdpi.com/1996-1073/18/8/1898
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