Ballasted Track Behaviour Induced by Absent Sleeper Support and its Detection Based on a Convolutional Neural Network Using Track Data

Ballasted Track Behaviour Induced by Absent Sleeper Support and its Detection Based on a Convolutional Neural Network Using Track Data

Abstract With development of the heavy-haul railway, the increased axle load and traction weight bring a significant challenge for the service performance and safety maintenance of the railway track. Conducting defect recognition on concrete sleepers and ballast using big data is vital. This paper f...

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Bibliographic Details
Main Authors: Dawei Zhang, Peijuan Xu, Yiyang Tian, Chen Zhong, Xu Zhang
Format: Article
Language:English
Published: SpringerOpen 2023-03-01
Series:Urban Rail Transit
Subjects:
Ballasted track
Absent sleeper support
Detection
Data-driven method
Model-based method
Online Access:https://doi.org/10.1007/s40864-023-00187-0

Internet

https://doi.org/10.1007/s40864-023-00187-0

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