Systematic Literature Review on Data-Driven Models for Predictive Maintenance of Railway Track: Implications in Geotechnical Engineering

Systematic Literature Review on Data-Driven Models for Predictive Maintenance of Railway Track: Implications in Geotechnical Engineering

Conventional planning of maintenance and renewal work for railway track is based on heuristics and simple scheduling. The railway industry is now collecting a large amount of data with the fast-paced development of sensor technologies. These data sets carry information about the conditions of variou...

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Bibliographic Details
Main Authors: Jiawei Xie, Jinsong Huang, Cheng Zeng, Shui-Hua Jiang, Nathan Podlich
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Geosciences
Subjects:
railway track
data-driven models
predictive maintenance
measurement data
machine learning
Online Access:https://www.mdpi.com/2076-3263/10/11/425

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