Prediction of track geometry degradation using artificial neural network: a case study
Author:
Affiliation:
1. Division of Operation and Maintenance, Luleå University of Technology, Luleå, Sweden
2. Trafikverket,Luleå, Sweden
3. Department of Mathematics, University of Arizona, Arizona, USA
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Transportation,Automotive Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/23248378.2021.1875065
Reference47 articles.
1. Data-driven optimization of railway maintenance for track geometry
2. Track geometry degradation and maintenance modelling: A review
3. Hierarchical Bayesian modelling of rail track geometry degradation
4. Predictive Maintenance Model for Ballast Tamping
5. Allocation of effective maintenance limit for railway track geometry
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