An Optimal Reprofiling Policy for High-Speed Train Wheels Subject to Wear and External Shocks Using a Semi-Markov Decision Process

• Published in: IEEE transactions on reliability Vol. 67; no. 4; pp. 1468 - 1481
• Main Authors: Mingcheng, E., Li, Bing, Jiang, Zengqiang, Li, Qi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Condition monitoring; Degradation; External shocks; High speed rail; Inspection; Iterative algorithms; Iterative methods; Maintenance costs; Maintenance engineering; Maintenance management; Markov analysis; Markov chains; Optimization; policy-iteration algorithm; Rail transportation; Railroad wheels; reprofiling policy; Safety; semi-Markov decision process (SMDP); Service life; Vehicle wheels; Wear; Wheels

Wheels are one of the three components of rail vehicles that are most affected by wear, having significant implications on safety and comfort. For the safety of vehicles, maintenance activities are needed for worn wheels to ensure their normal geometry, where reprofiling plays the most important rol...