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Information × Registration Number 0226U002396, (0123U101280) , R & D reports Title Reducing the accident rate of railway rolling stock by creating new systems for assessing their technical condition popup.stage_title Зменшення аварійності рухомого складу залізниць створенням нових систем оцінки їх технічного стану Head Miroshnykova Mariia Volodymyrivna, Кандидат технічних наук Registration Date 24-02-2026 Organization Volodymyr Dahl East Ukrainian National University popup.description1 Improvement of systems and means of assessment control of the technical condition of railway rolling stock to improve its accident-free functioning, including taking into account complicated (contracts related to hostilities on the territory of Ukraine, the need for use beyond the designated service life, existing physical (taking into account the state of war ) restrictions on repairs and maintenance, and other) operating conditions. popup.description2 Object of Study: The processes of initiation, development, and accumulation of technical faults in the components and structures of railway rolling stock that directly affect safety and traffic quality indicators. The subject of the research is methods, algorithms and systems for automated assessment and prediction of the technical condition of rolling stock units. Purpose of the Work: To develop scientific and methodological foundations and practical instrumental solutions for creating intelligent monitoring systems that ensure early defect detection and residual life forecasting of critical rolling stock components to reduce accident rates. Methodology. A comprehensive approach was utilized, including. Finite Element Analysis (FEA) for modeling the stress-strain state of structures; Spectral and Wavelet Analysis methods for processing diagnostic signals; Probability Theory and Mathematical Statistics for resource forecasting; Machine Learning for defect classification; Full-scale experimental studies using strain gauge measurements and vibration diagnostics. A conceptual model for intelligent monitoring of rolling stock components based on the analysis of dynamic vibration spectra and thermal control has been developed. Mathematical models of degradation processes in metal structures (specifically bogie frames and wheel) under cyclic loading have been improved. A new algorithm for identifying hidden defects in cast parts based on energy response indicators and acoustic emission parameters has been proposed. An integral reliability index for multi-criteria, real-time assessment of traffic safety has been substantiated. A mobile system for determining safety indicators and the technical condition of rolling stock in operational environments has been created, comprising both hardware and specialized software. A durability calculation methodology for base structures has been developed. Product Description popup.authors Andrii S. Lytvynenko Medvediev Ievgen Pavlo M. Prokopenko Serhii S. Sova Dmytro A. Turovets Oleksandr S. Kozynka Vladyslav O. Bezlutskyi Oleksij Fomin Vitalii S. Lisnychnyi popup.nrat_date 2026-02-24 Close