A data‐driven maintenance policy for railway wheelset based on survival analysis and Markov decision process
Author:
Affiliation:
1. IDMEC, Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal
2. School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta Georgia USA
Funder
Fundação para a Ciência e a Tecnologia
Publisher
Wiley
Subject
Management Science and Operations Research,Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2729
Reference36 articles.
1. Evaluation of track geometry maintenance for a heavy haul railroad in Sweden: A case study
2. Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach
3. BSI. BS EN 14363:2016+A1:2018. Railway applications. Testing and Simulation for the acceptance of running characteristics of railway vehicles. Running Behaviour and stationary tests.2016.
4. Recent applications of big data analytics in railway transportation systems: A survey
5. Prediction of railway wheel wear and its influence on the vehicle dynamics in a specific operating sector of Indian railways network
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