Devising a procedure for calculating the technical condition index of locomotive nodes based on monitoring results

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.242478

Keywords:

technical condition index, informativeness, diagnostic parameters, principal components, hydraulic transmission

Abstract

The widespread introduction of information technologies in the systems that manage technical fleets, the use of maintenance and repair systems based on risk assessment, is based on the calculation of a large enough number of indicators. Modern locomotives are equipped with systems for monitoring and diagnosing technical condition. Combining these systems with the Internet of Things and Big Data technologies provides an opportunity to use completely new approaches to fleet management. At the initial stage of the construction of such systems, it is necessary to devise criteria that make it possible to automatically determine the technical condition of a locomotive and its components in order to identify the locomotive in the total fleet that requires maintenance or repair.

A procedure has been proposed for calculating the technical condition index of locomotives and their components based on data from monitoring systems. The procedure is based on the formation of latent diagnostic parameters employing the principal component method and on the subsequent calculation of the weight coefficients of these parameters applying the method of hierarchy analysis. The special feature of the proposed procedure is that when calculating the index, those latent diagnostic parameters are used that are derived from the group of control parameters whose weight coefficients are computed using the method of hierarchy analysis without involving experts.

This paper reports the results from calculating the informativeness of the diagnostic parameters of load, loss, input, as well as their weight coefficients. The highest information content, from 0.5 to 0.85, is demonstrated by the load parameter; the smallest (0.05‒0.26) ‒ the input parameter. The average value and the dependences of changes in the technical condition index of a hydraulic transmission during the tests have been determined. Analysis of the technical condition index makes it possible to assess the transmission's response to changes in test modes, the dynamics of changes in losses

Author Biographies

Borys Bodnar, Dnipro National University of Railway Transport named after Academician V. Lazaryan

Doctor of Technical Sciences, First Vice-Rector, Professor

Department of Locomotives

Oleksandr Ochkasov, Dnipro National University of Railway Transport named after Academician V. Lazaryan

PhD, Associate Professor

Department of Locomotives

Mykhailo Ochkasov, Taras Shevchenko National University of Kyiv

Department of Intelligent and Information Systems

References

  1. Tartakovskyi, E., Ustenko, O., Puzyr, V., Datsun, Y. (2017). Systems Approach to the Organization of Locomotive Maintenance on Ukraine Railways. Studies in Systems, Decision and Control, 217–236. doi: https://doi.org/10.1007/978-3-319-51502-1_5
  2. Skalozub, V., Osovik, V. (2014). Individual intelligent models for operating a number of unified railway engineering systems based on the current state parameters. Informatsiyno-keruiuchi systemy na zaliznychnomu transporti, 6, 8–12. Available at: http://eadnurt.diit.edu.ua/bitstream/123456789/3434/1/Skalozub_Osovik.pdf
  3. Skalozub, V. V., Klymenko, I. V. (2018). Method for planning non-determined operation processes of railway technical system park. Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 5 (77), 7–18. doi: https://doi.org/10.15802/stp2018/141430
  4. Falendysh, A. P., Chyhyryk, N. D., Sumtsov, A. L., Kletska, O. V. (2019). The choice of the strategy of technical operation of modernized shunting locomotives. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2, 43–50. doi: https://doi.org/10.29202/nvngu/2019-2/7
  5. Falendysh, A., Sumtsov, A., Artemenko, O., Klecka, O. (2016). Simulation of changes in the steady state availability factor of shunting locomotives for various maintenance systems. Eastern-European Journal of Enterprise Technologies, 1 (3 (79)), 24–31. doi: https://doi.org/10.15587/1729-4061.2016.60640
  6. Babyak, M., Keršys, R., Neduzha, L. (2020). Improving the dependability evaluation technique of a transport vehicle. Proceedings of 24th International Scientific Conference. Transport Means 2020, 646–651. Available at: https://www.researchgate.net/publication/345710826_Improving_the_Dependability_Evaluation_Technique_of_a_Transport_Vehicle
  7. Bodnar, B., Bolzhelarskyi, Y., Ochkasov, O., Hryshechkina, T., Černiauskaite, L. (2018). Determination of integrated indicator for analysis of the traffic safety condition for traction rolling stock. Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS’2018): The 12th International Scientific Conf., 45–54. Available at: http://eadnurt.diit.edu.ua/jspui/handle/123456789/10806
  8. Bodnar, B., Ochkasov, O., Bodnar, E., Hryshechkina, T., Keršys, R. (2018). Safety performance analysis of the movement and operation of locomotives. Proceedings of 22nd International Scientific Conference, 839–843. Available at: http://eadnurt.diit.edu.ua/bitstream/123456789/10780/1/Bodnar.pdf
  9. Davidenko, I. V., Halikova, E. D. (2014). Uchet riskov pri vybore ocherednosti meropriyatiy tehnicheskogo obsluzhivaniya silovyh transformatorov. Elektro. Elektrotehnika, elektroenergetika, elektrotehnicheskaya promyshlennost', 6, 32–37. Available at: https://www.elibrary.ru/item.asp?id=22768160
  10. Jürgensen, J. H., Scheutz Godin, A., Hilber, P. (2017). Health index as condition estimator for power system equipment: a critical discussion and case study. CIRED - Open Access Proceedings Journal, 2017 (1), 202–205. doi: https://doi.org/10.1049/oap-cired.2017.1174
  11. Bodnar', B. E., Ochkasov, A. B. (2001). Ispol'zovanie metoda ekspertnyh ocenok pri razrabotke diagnosticheskogo obespecheniya lokomotivov. Nauchnye trudy Kremenchugskogo gosudarstvennogo politehnicheskogo universiteta, 1 (10), 217–220.
  12. Kuzina, T. S., Davidenko, I. V. (2016). The analysis of foreign methods for estimation of the health index of power transformers. Energo- i resursosberezhenie. Energoobespechenie. Netradicionnye i vozobnovlyaemye istochniki energii: materialy Vserossiyskoy nauchno-prakticheskoy konferencii studentov, aspirantov i molodyh uchenyh s mezhdunarodnym uchastiem. Ekaterinburg: UrFU, 158–162.
  13. Gavrilyuk, E. A., Mantserov, S. A., Panov, A. Y. (2015). The failure prediction of automatic gas-compressor unit control systems on basis of technical state index and measure of risk. Fundamental research, 7, 309–313. Available at: https://fundamental-research.ru/ru/article/view?id=38691
  14. Wesołowski, M., Iwanowski, P. (2020). APCI Evaluation Method for Cement Concrete Airport Pavements in the Scope of Air Operation Safety and Air Transport Participants Life. International Journal of Environmental Research and Public Health, 17 (5), 1663. doi: https://doi.org/10.3390/ijerph17051663
  15. Bulakh, M., Okorokov, A., Baranovskyi, D. (2021). Risk System and Railway Safety. IOP Conference Series: Earth and Environmental Science, 666 (4), 042074. doi: https://doi.org/10.1088/1755-1315/666/4/042074
  16. Lakin, I. K., Abolmasov, A. A., Melnikov, V. A. (2013). Risk management model to prevent locomotive malfunction. World of Transport and Transportation, 4, 130–136. Available at: https://mirtr.elpub.ru/jour/article/view/427/684
  17. Datsun, Y. (2015). The choice of the strategy of the technical service and repair of locomotives based on the methods of fuzzy logic. Visnyk Skhidnoukrainskoho natsionalnoho universytetu imeni Volodymyra Dalia, 1 (218), 77–80. Available at: http://nbuv.gov.ua/UJRN/VSUNU_2015_1_17
  18. Bodnar, B., Ochkasov, O. (2021). Devising a procedure to form the diagnostic parameters for locomotives using a principal components analysis. Eastern-European Journal of Enterprise Technologies, 2 (1 (110)), 97–103. doi: https://doi.org/10.15587/1729-4061.2021.230293
  19. Bosov, A., Loza, P. (2014). Creation of an index of arbitrary process. Zbirnyk naukovykh prats Donetskoho instytutu zaliznychnoho transportu, 38, 68–73. Available at: http://nbuv.gov.ua/UJRN/znpdizt_2014_38_13
  20. Bodnar, B., Ochkasov, O., Bobyr, D., Korenyuk, R., Bazaras, Z. (2018). Using the Self-Braking Method when the Post-Overhaul Diagnostics of Diesel-Hydraulic Locomotives. Proceedings of 22nd International Scientific Conference, 914–919. Available at: https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-II-A4-2018-09-25.pdf
  21. Zhukovyts’kyy, I., Kliushnyk, I. (2018). Development of a self­diagnostics subsystem of the information­measuring system using anfis controllers. Eastern-European Journal of Enterprise Technologies, 1 (9 (91)), 11–19. doi: https://doi.org/10.15587/1729-4061.2018.123591

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Published

2021-10-31

How to Cite

Bodnar, B., Ochkasov, O., & Ochkasov, M. (2021). Devising a procedure for calculating the technical condition index of locomotive nodes based on monitoring results. Eastern-European Journal of Enterprise Technologies, 5(3 (113), 37–45. https://doi.org/10.15587/1729-4061.2021.242478

Issue

Vol. 5 No. 3 (113) (2021): Control processes

Section

Control processes

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Copyright (c) 2021 Borys Bodnar, Oleksandr Ochkasov, Mykhailo Ochkasov

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