Data-driven predictive maintenance scheduling policies for railways

PCL Gerum, A Altay, M Baykal-Gürsoy - Transportation Research Part C …, 2019 - Elsevier
Inspection and maintenance activities are essential to preserving safety and cost-
effectiveness in railways. However, the stochastic nature of railway defect occurrence is …

A rolling-horizon approach for predictive maintenance planning to reduce the risk of rail service disruptions

A Consilvio, A Di Febbraro… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a model for the risk-based scheduling of predictive maintenance
activities on a railway line to intervene when a track segment has reached a certain state of …

Improving rail network velocity: A machine learning approach to predictive maintenance

H Li, D Parikh, Q He, B Qian, Z Li, D Fang… - … Research Part C …, 2014 - Elsevier
Rail network velocity is defined as system-wide average speed of line-haul movement
between terminals. To accommodate increased service demand and load on rail networks …

[HTML][HTML] An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways' condition, planning and cost

I Durazo-Cardenas, A Starr, CJ Turner, A Tiwari… - … Research Part C …, 2018 - Elsevier
National railways are typically large and complex systems. Their network infrastructure
usually includes extended track sections, bridges, stations and other supporting assets. In …

Data-driven optimization of railway maintenance for track geometry

S Sharma, Y Cui, Q He, R Mohammadi, Z Li - Transportation Research Part …, 2018 - Elsevier
Railway big data technologies are transforming the existing track inspection and
maintenance policy deployed for railroads in North America. This paper develops a data …

Predictive maintenance model for ballast tamping

LF Caetano, PF Teixeira - Journal of Transportation Engineering, 2016 - ascelibrary.org
In order to optimally schedule railway track maintenance operations, it is essential to
accurately estimate future track conditions. This study proposes a railway track geometry …

[HTML][HTML] Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering

J Xie, J Huang, C Zeng, SH Jiang, N Podlich - Geosciences, 2020 - mdpi.com
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 …

[HTML][HTML] A taxonomy of railway track maintenance planning and scheduling: A review and research trends

M Sedghi, O Kauppila, B Bergquist, E Vanhatalo… - Reliability Engineering & …, 2021 - Elsevier
Railway track maintenance and renewal are vital for railway safety, train punctuality, and
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …

A deep reinforcement learning approach for rail renewal and maintenance planning

R Mohammadi, Q He - Reliability Engineering & System Safety, 2022 - Elsevier
Developing optimal rail renewal and maintenance planning that minimizes long-term costs
and risks of failure is of paramount importance for railroad industry. However, intrinsic …

[HTML][HTML] Optimization of maintenance strategies for railway track-bed considering probabilistic degradation models and different reliability levels

S Bressi, J Santos, M Losa - Reliability engineering & system safety, 2021 - Elsevier
An optimization-based maintenance scheduling framework is an essential tool to plan the
necessary investment to maintain the required performance of a railway line. In the present …