Development of intelligent systems for monitoring the technical condition of braking and automatic coupling equipment of railway rolling stock

Authors

  • O.V. Fomin National Transport University, Kyiv city
  • M.V. Miroshnykova Volodymyr Dahl East Ukrainian National University, Kyiv city
  • S.M. Leonov National Transport University, Kyiv city
  • V.O. Bezlutsky Volodymyr Dahl East Ukrainian National University, Kyiv city
  • Ie.V. Gunko National Transport University, Kyiv city
  • І.В. Rodionov National Transport University, Kyiv city

DOI:

https://doi.org/10.33216/1998-7927-2025-296-10-104-113

Keywords:

transport, railway transport, railway rolling stock, braking and coupling equipment, technical condition assessment systems, modeling, intelligent diagnostics

Abstract

From a scientific point of view, the work developed new mathematical models that allow for a more accurate description of the dynamic characteristics of brake systems and automatic couplings in different operating modes. The need to create unified solutions for different types of rolling stock is relevant. Integration with existing railway transport management systems is an important task. The development of scalable and flexible monitoring systems is necessary. This will allow them to be adapted to the future needs of the industry. The introduction of innovative technologies will contribute to the development of railway infrastructure as a whole. Ukraine, as a country with an extensive railway network, has significant potential for the implementation of such solutions. Increasing the competitiveness of railway transportation is a strategic goal. This research is extremely relevant for ensuring the stability and safety of the functioning of railway transport. It is aimed at solving urgent problems of the industry. This will ensure stable and safe operation of railway transport. This provides a deeper understanding of the processes occurring in the equipment. The obtained machine learning algorithms demonstrate high efficiency in detecting hidden defects and predicting potential failures, which significantly exceeds the capabilities of traditional diagnostic methods. From an applied point of view, the developed prototype of an intelligent monitoring system has shown its operability and efficiency in laboratory conditions and on test sites. The system successfully integrates data from various sensors, providing a comprehensive analysis of the technical condition of the equipment in real time. This allows you to quickly respond to changes and make informed decisions regarding maintenance. The results of the study open the way to creating industrial samples of such systems that will have a significant economic effect by reducing the accident rate and optimizing the costs of operating and repairing rolling stock. The effectiveness assessment confirmed the significant economic potential of the implementation of such systems, which is manifested in reducing operating costs and increasing transportation safety. The results of the study are a solid basis for further scientific developments in the direction of autonomous diagnostic systems.

References

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Published

2025-12-15

Issue

No. 10 (296) (2025): Visnik of the Volodymyr Dahl East Ukrainian National University

Section

Specialty 273