Deep Learning-Based Instance Segmentation of Galloping High-Speed Railway Overhead Contact System Conductors in Video Images

Deep Learning-Based Instance Segmentation of Galloping High-Speed Railway Overhead Contact System Conductors in Video Images

The conductors of high-speed railway OCSs (Overhead Contact Systems) are susceptible to conductor galloping due to the impact of natural elements such as strong winds, rain, and snow, resulting in conductor fatigue damage and significantly compromising train operational safety. Consequently, monitor...

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Bibliographic Details
Main Authors: Xiaotong Yao, Huayu Yuan, Shanpeng Zhao, Wei Tian, Dongzhao Han, Xiaoping Li, Feng Wang, Sihua Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
high-speed railway OCS
deep learning
conductor galloping monitoring
YOLO11
instance segmentation
Online Access:https://www.mdpi.com/1424-8220/25/15/4714
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