Statistical Analysis of Failures in the Traction Drive Systems of the Moscow Metro Electric Rolling Stock

Objective: to systematize, quantify failures in traction drive system for period of 2020–2024, identify main types of malfunctions, establish priority areas for technical and organizational measures aimed at reducing frequency of unscheduled repairs and optimizing the total cost of the electric rolling stock fleet in possession Methods: statistical analysis of failures was used including categorization into types (electrical, mechanical, and software), calculation of percentage of failures, time series analysis, quantitative analysis between operational parameters and the probability of failure. Data from service logs, diagnostic systems, contact checks was used, and a method was developed to assess the impact of operating conditions and service quality on reliability parameters. Results: the analysis results allowed us to identify the most vulnerable components and systems of the traction drive, determine distribution of failure types. Practical significance: there is a need to develop reasonable recommendations for diagnostics, prevention, and modernization of traction drive units, implementation of regular thermal imaging, contact checks, automated monitoring of currents, voltages, strengthening of diagnostics programs, adaptation of maintenance intervals based on the actual condition. The implementation of proposed measures can improve the system’s reliability, reduce the number of unscheduled repairs, and decrease the operational costs of the electric rolling stock fleet.