A comparative analysis of the causes underlying unscheduled repairs of passenger railway cars

Objective: to compare the reasons underlying unplanned ongoing uncoupling repairs (OUR) in order to find trends in component failure depending on the operating intensity. Methods: statistical analysis on the implementation of OUR for two groups of railway cars, classified as “moderate” (up to 600,000 km and/or 3 years) and “intensive” (regardless of mileage, upon reaching 2 years) was conducted. Pareto diagramme analysis was used to identify the principal malfunctions, accompanied by calculations of specific failure frequencies and the failure intensity coefficient. Results: the findings showed that vehicles subjected to intensive use require unscheduled repairs, on average, 1.6 times more frequently per vehicle than those under moderate use. The predominant defect sources were wheelset surface damage, including shelling, circumferential welds, and uniform wear, and the requirement for technological oil replacement in the gearbox. The study demonstrates that both the character and frequency of failures are substantially influenced by operating conditions. Practical significance: the data obtained will help rolling stock owners and operators predict the need for spare parts and production resources required for MRS repairs, optimize repair logistics and anticipate the demand for production resources and spare components for OUR repairs. The research proposes developing a specialized system to monitor the emergence and development of operational defects on the wheelset’s surface, optimize technological processes, and install onboard diagnostic equipment that will facilitate a transition to condition-based maintenance easier.

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Publication Details

Journal
Bulletin of scientific research results
Published
2026-04-02
DOI
https://doi.org/10.20295/2223-9987-2026-1-58-66
Primary Topic
Railway Engineering and Dynamics
Type
article
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article

A comparative analysis of the causes underlying unscheduled repairs of passenger railway cars

Ivan Vishnyakov, Dmitriy Evseev
Bulletin of scientific research results
Railway Engineering and Dynamics
article

A comparative analysis of the causes underlying unscheduled repairs of passenger railway cars

Ivan Vishnyakov, Dmitriy Evseev
article en

Abstract

Objective: to compare the reasons underlying unplanned ongoing uncoupling repairs (OUR) in order to find trends in component failure depending on the operating intensity. Methods: statistical analysis on the implementation of OUR for two groups of railway cars, classified as “moderate” (up to 600,000 km and/or 3 years) and “intensive” (regardless of mileage, upon reaching 2 years) was conducted. Pareto diagramme analysis was used to identify the principal malfunctions, accompanied by calculations of specific failure frequencies and the failure intensity coefficient. Results: the findings showed that vehicles subjected to intensive use require unscheduled repairs, on average, 1.6 times more frequently per vehicle than those under moderate use. The predominant defect sources were wheelset surface damage, including shelling, circumferential welds, and uniform wear, and the requirement for technological oil replacement in the gearbox. The study demonstrates that both the character and frequency of failures are substantially influenced by operating conditions. Practical significance: the data obtained will help rolling stock owners and operators predict the need for spare parts and production resources required for MRS repairs, optimize repair logistics and anticipate the demand for production resources and spare components for OUR repairs. The research proposes developing a specialized system to monitor the emergence and development of operational defects on the wheelset’s surface, optimize technological processes, and install onboard diagnostic equipment that will facilitate a transition to condition-based maintenance easier.

Bulletin of scientific research resultsVol. 2026(1)
Russian University of Transport (RU), Federal Supreme Court of Switzerland (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Railway Engineering and Dynamics
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