Abstract
The study is aimed at replacing outdated approaches in the organization of maintenance of the locomotive fleet. The article presents a comparative analysis of maintenance strategies for traction rolling stock. The necessity of introducing control over the technical condition of locomotives to ensure the transition to a preventive maintenance system is substantiated. Directions of research - adjustment of the existing volumes and frequency of repairs, the introduction of individual repair strategies, the introduction of adapted and flexible approaches to the maintenance of locomotives. To improve the efficiency of monitoring the technical condition of locomotives, the use of factor analysis methods is proposed. The purpose of using factor analysis methods is to reduce the number of analysed parameters, while the information content of monitoring the technical condition should not decrease. The results of applying the method of principal components to assess the technical condition of the hydraulic transmission of a diesel locomotive during testing are presented. It is proposed to use the concept of latent diagnostic parameters to assess the technical condition of locomotive units. Considering the physical meaning of the processes occurring in the hydraulic transmission, as a result of the analysis, three groups of latent parameters were identified: “Load”, “Losses”, “Input”. These parameters characterize the technical condition of the hydraulic transmission. Each of the latent parameters includes information from a group of physical process sensors. The implementation of the considered approach will ensure the effective use of monitoring results and a gradual transition to predictive maintenance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lee, J., Ni, J., Singh, J., Jiang, B., Azamfar, M., Feng, J.: Intelligent maintenance systems and predictive manufacturing. ASME. J. Manuf. Sci. Eng. 142(11), 110805 (2020). https://doi.org/10.1115/1.4047856
Tartakovskyi, E., Ustenko, O., Puzyr, V., Datsun, Y.: Systems approach to the organization of locomotive maintenance on Ukraine railways. In: Sładkowski, A. (ed.) Rail Transport—Systems Approach. SSDC, vol. 87, pp. 217–236. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51502-1_5
Bodnar, B., Ochkasov, O.: System choice of the technical maintenance of locomotives equipped with on-board diagnostic systems. In: Proceedings of 21st International Conference on Transport Means 2017, 20–22 September 2017, Juodkrante, Lithuania. - Part I. -Kaunas: Kaunas University of Technology, pp. 43–47 (2017)
Bosov, A.A.: Theoretical foundations and methodology for calculating rational planned restoration of locomotives and cars: Abstract of a Thesis of Doctor of Technical Sciences: 22 May 2007. Leningrad: Leningrad Institute of Railway Transport Engineers, 30 p. (1986)
Hryshechkina, T.: Mathematical model of the rational maintenance system of railway transport technical objects. Transp. Syst. Transp. Technol. Iss. 14, 30–35 (2017). https://doi.org/10.15802/tstt2017/123165
Increasing operational reliability of locomotives by implementing a rational maintenance system: Ph.D. thesis in Engineering: 05.22.07/Bodnar Yevhen Borysovych; the Dnipropetrovsk National University of Railway Transport named after V. Lazarian. – Dnipropetrovsk, p. 161 (2004)
Bosov, A.A., Hryshechkina, T.S., Savchenko, L.M.: Mathematical modeling of a technical object dependent failures. Sci. Transp. Prog. Iss. 28, 129–132 (2009)
Datsun, Y.: The choice of the strategy of the technical service and repair of locomotives based on the methods of fuzzy logic. Bull. Volodymyr Dahl East Ukr. Natl. Univ. 218(1), 77–80 (2015)
Datsun, Y.M.: Research of the operation of a fuzzy classifier for determining strategies for maintenance and repair of locomotive nodes. Railw. Transp. Ukr. 5, 51–54 (2015)
Grenčík, J., Poprocký, R., Galliková, J., Volna, P.: Use of risk assessment methods in maintenance for more reliable rolling stock operation. MATEC Web Conf. 15704002 (2018). https://doi.org/10.1051/matecconf/201815704002
Jaiswal, V., Banodha, V., Patel, P.: Risk assessment in maintenance work at diesel locomotive workshop. Int. J. Emerg. Technol. 5(1), 59 (2014)
Bodnar, B., Bolzhelarskyi, Y., Ochkasov, O., Hryshechkina, T., Černiauskaitė, L.: Determination of integrated indicator for analysis of the traffic safety condition for traction rolling stock. In: Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS 2018): The 12th International Science Conference, 26–27 April 2018, Panevėžys, pp. 45–54. Kaunas University of Technology, Panevėžys (2018)
Xu, S., Chen, C., Lin, Z., Zhang, X., Dai, J., Liu, L.: Review and prospect of maintenance technology for traction system of high-speed train. Transp. Saf. Environ. 3(3), 1–20 (2021). https://doi.org/10.1093/tse/tdab017
Bulakh, M., Okorokov, A., Baranovskyi, D.: Risk system and railway safety. IOP Conf. Ser. Earth Environ. Sci. 666(4), 042074 (2021). https://doi.org/10.1088/1755-1315/666/4/042074
Lakin, I.K., Abolmasov, A.A., Melnikov, V.A.: Risk management model to prevent locomotive malfunction. World Transp. Transp. 4, 130–136 (2013)
Moiseenko, V., Kameniev, O., Gaievskyi, V.: Predicting a technical condition of railway automation hardware under conditions of limited statistical data. Eastern-Eur. J. Enterp. Technol. 3(9–87), 26–35 (2017). https://doi.org/10.15587/1729-4061.2017.102005
Moubray, J.: Reliability-Centered Maintenance. Industrial Press Inc., New York (2001)
Resnikoff, H. L.: Mathematical Aspects Of Reliability-Centered Maintenance. United Airlines Inc., San Francisco (1977)
Ochkasov, O., Shvets, O., Cerniauskaite, L.: Usage of intelligent technologies in choosing the strategy of technical maintenance of locomotives. Technologijos ir Menas = Technol. 8, 68–71 (2017)
Bodnar, B., Ochkasov, O.: Devising a procedure to form the diagnostic parameters for locomotives using a principal components analysis. East. Eur. J. Enterp. Technol. 2(1(110)), 97–103 (2021). https://doi.org/10.15587/1729-4061.2021.230293
Yin, S., Ding, S.X., Xie, X., Luo, H.: A review on basic data-driven approaches for industrial process monitoring. IEEE Trans. Indus. Electron. 61(11), 6418–6428 (2014). https://doi.org/10.1109/TIE.2014.2301773
Jolliffe, I.T., Cadima, J.: Principal component analysis: a review and recent developments. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 374(2065), 20150202 (2016). https://doi.org/10.1098/rsta.2015.0202
Nadir, F., Elias, H., Messaoud, B.: Diagnosis of defects by principal component analysis of a gas turbine. SN Appl. Sci. 2(5), 1–8 (2020). https://doi.org/10.1007/s42452-020-2796-y
Mnassri, B., Ananou, B., Ouladsine, M.: Fault detection and diagnosis based on PCA and a new contribution plot. IFAC Proc. Vol. 42(8), 834–839 (2009). https://doi.org/10.3182/20090630-4-ES-2003.00137
Doorsamy, W., Cronje, W.A.: A method for fault detection on synchronous generators using modified principal component analysis. In: 2015 IEEE International Conference on Industrial Technology (ICIT), Seville, Spain, pp. 586–591 (2015). https://doi.org/10.1109/ICIT.2015.7125162
Zheng, M., Wu, L., Li, L., Liu, C., Wang, L., Sun, S.: A modified method for fault detection and isolation of redundant Inerial measurement unit in dynamic environment. In: 2017 36th Chinese Control Conference (CCC), Dalian, pp. 6998–7002 (2017). https://doi.org/10.23919/ChiCC.2017.8028460
Bodnar, B., Ochkasov, O., Bobyr, D., Korenyuk, R., Bazaras Ž.: Using the self-braking method when the post-overhaul diagnostics of diesel-hydraulic locomotives. In: Proceedings of the 22nd International ScienceConference on TYransport Means 2018, 03–05 October 2018, Trakai, Lithuania. Kaunas University of Technology, Klaipėda University, JSC Lithuanian Railways (AB Lietuvos Geležinkeliai). Kaunas, Pt. II, pp. 914–919 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bondar, B., Ockasov, O., Petrenko, V., Martishevskij, M. (2023). Implementing Intelligent Monitoring of the Technical Condition of Locomotive Hydraulic Transmissions. In: Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Maruschak, P., Karpenko, M. (eds) TRANSBALTICA XIII: Transportation Science and Technology. TRANSBALTICA 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-25863-3_70
Download citation
DOI: https://doi.org/10.1007/978-3-031-25863-3_70
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25862-6
Online ISBN: 978-3-031-25863-3
eBook Packages: EngineeringEngineering (R0)