1. 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
2. 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
3. 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)
4. 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)
5. 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