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Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors

Author

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  • Oleg Gubarevych

    (Department of Electromechanics and Rolling Stock of Railways, Kyiv Institute of Railway Transport of State University of Infrastructure and Technologies, 04071 Kyiv, Ukraine)

  • Stanisław Duer

    (Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15-17 Raclawicka St., 75-620 Koszalin, Poland)

  • Inna Melkonova

    (Department of Electrical Engineering, Volodymyr Dahl East Ukrainian National University, 91000 Kyiv, Ukraine)

  • Marek Woźniak

    (Doctoral School, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland)

  • Jacek Paś

    (Faculty of Electronic, Military University of Technology of Warsaw, 2 Urbanowicza St., 00-908 Warsaw, Poland)

  • Marek Stawowy

    (Department of Transport Telecommunication, Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

  • Krzysztof Rokosz

    (Faculty of Electronic and Informatics, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland)

  • Konrad Zajkowski

    (Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15-17 Raclawicka St., 75-620 Koszalin, Poland)

  • Dariusz Bernatowicz

    (Faculty of Electronic and Informatics, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland)

Abstract

Increasing the efficiency and reliability of modern railway transport is accompanied by an increase in monitoring and diagnostic systems for the current state of electric drives. Modern railway transport contains a large number of induction motors to ensure the operation of the drives of various mechanisms. In the article, based on the operational statistics of engine failures and the proposed scheme for diagnosing them, studies were carried out and a model was developed for assessing the reliability of a transport system equipped with an on-board diagnostic system for the current state. When building the models, the Markov method was used, including the construction of graphs for the five most relevant states of the induction electric motor during operation. The results obtained are relevant for evaluating the effectiveness of using the built-in diagnostic system and scheduling routine maintenance, which will affect the efficiency of railway transport. Based on the process of the diagnosis of railway transport systems with induction motors, five operating states of the object studied were interpreted: the state of full operation, state “S0”; the state of incomplete serviceability, state “S1”; critical serviceability, state “S2”; the state of the pre-damage condition, state “S3”; the state of unserviceability (defect), state “S4”. Subsequently, a five-state model of the operation process of railway transport systems with induction motors was developed. This model is also described by equations of state: Kolmogorov–Chapman equations. The reliability quantities determined form the basis for simulation reliability studies. The effect of the simulation study is the reliability quantities determined in the form of reliability functions and probabilities of the occurrences of the operating states of railway transport systems with induction motors; an important part of the reliability study of the system examined is to estimate the times of the occurrences in the object studied of the operating states in the future.

Suggested Citation

  • Oleg Gubarevych & Stanisław Duer & Inna Melkonova & Marek Woźniak & Jacek Paś & Marek Stawowy & Krzysztof Rokosz & Konrad Zajkowski & Dariusz Bernatowicz, 2023. "Research on and Assessment of the Reliability of Railway Transport Systems with Induction Motors," Energies, MDPI, vol. 16(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6888-:d:1250935
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    References listed on IDEAS

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    Cited by:

    1. Razan Issa & Guy Clerc & Malorie Hologne-Carpentier & Ryan Michaud & Eric Lorca & Christophe Magnette & Anes Messadi, 2024. "Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications," Energies, MDPI, vol. 17(11), pages 1-24, June.

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