Scheduling wheel inspection for sustainable urban rail transit operation: A Bayesian approach

Zhaodong Huang, Steven Chien, Wei Zhu and Pengjun Zheng

Physica A: Statistical Mechanics and its Applications, 2022, vol. 586, issue C

Abstract: Scheduling the wheel inspection is critical to ensure the safety and sustainability of urban rail transit (URT) operation. The common wheel inspection is conducted on a fixed-interval basis, determined by empirical practices. However, the relationship between the distance of wheel travel and wheel wearing condition subject to track alignment is uncertain. A Bayesian model is developed to schedule the timings of wheel inspections which meet the safety thresholds for sustainable train operation. In the case study, the historic wheel inspection data of a real-world URT line was collected and analyzed, which indicates that wheel reprofiling follows a Weibull distribution. The suggested wheel inspection plan by the proposed model is compared with fix-interval inspection. The results show that the inspection frequency can be significantly reduced before yielding 180,900 km wheel travel, which satisfies the wheel reliability as 0.95.

Keywords: Urban rail transit; Wheel wear; Inspection; Maintenance; Reliability; Bayesian approach (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:586:y:2022:i:c:s0378437121007275

DOI: 10.1016/j.physa.2021.126454

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