Bibliography: 1. Grishin I. A., Velikanov V. S., Nazarov O. V., Derina N. V. On the possibility of using the local approximation method to predict irregular time series of failures of mining and transport vehicles. Ugol'. 2022, no. 3 (1152), pp. 84—89. [In Russ]. DOI: 10.18796/0041-5790-2022-3-84-89.
2. Rakhutin M. G., Tran V. H., Krivenko A. E., Giang Q. Kh. Impact of the technical condition of main pumps on fuel consumption in a hydraulic excavator. Mining Science and Technology (Russia). 2025, vol. 10, no. 1, pp. 67—74. [In Russ]. DOI: 10.17073/2500-0632-2024-01-179.
3. Khamidov O. U., Shibanov D. A., Shishkin P. V., Kolpakov V. O. Efficiency of excavators application in open pit mines of Uzbekistan. Russian Mining Industry Journal. 2024, no. 5, pp. 135—142. [In Russ]. DOI: 10.30686/1609-9192-2024-5-135-142.
4. Zhu S., Zhang X., Wang D., Wang J. Mixed turbulent lubrication analysis of worn journal bearing with end oil supply. Tribology International. 2024, no. 193, pp. 1—16. DOI: 10.1016/j.triboint.2024.109380.
5. Piechowski M., Wyczółkowski R., Paszkowski W., Meller A. Improving the efficiency of greasing operations with the lubrication management support system: a case study. IFAC-PapersOnLine. 2024, vol. 58, no. 8, pp. 228—233. DOI: 10.1016/j.ifacol.2024.08.125.
6. Zhou P., Ling J., Zhao R. Modeling with experimental validation of power loss in high-speed rolling bearings with oil-jet lubrication for helicopter transmission systems. Tribology International. 2026, vol. 218, pp. 1—12. DOI: 10.1016/j.triboint.2026.111762.
7. Semykina A. S., Zagorodniy N. A., Novikov I. A., Novikov A. N. Main directions of improving the maintenance and repair of vehicle units in the Far North. Transportation Research Procedia. 2021, vol. 57, pp. 611—616. DOI: 10.1016/j.trpro.2021.09.090.
8. Lagunova Yu. A., Mayorov S. A., Boyarskikh G. A. Statistical analysis of the stress-strain state of a jaw crusher bearing. News of the Ural State Mining University. 2020, vol. 2, no. 58, pp. 159—171. [In Russ]. DOI: 10.21440/2307-2091-2020-2-159-171.
9. Yungmeister D. A., Ivanov S. E., Isaev A. I. Calculation of parameters of technological equipment for deep-sea mining. IOP Conference Series: Materials Science and Engineering. 2018, vol. 327, no. 2, pp. 1—6. DOI: 10.1088/1757-899X/327/2/022050.
10. Glazyev M. V., Bazhin V. Y., Glazyeva I. A. Assessment of the effect of microsilica additive on the properties of refractory materials for steelmaking ladles. Chernye Metally. 2025, vol. 6, pp. 22—28. [In Russ]. DOI: 10.17580/chm.2025.06.04.
11. Ivanov S. L., Fokin A. S., Potapenko V. S., Podkhalyuzin S. P. Monitoring the condition, forecasting and increasing the residual life of transmission and support bearings of tubular furnaces. Journal of Mining Institute. 2011, vol. 192, pp. 111—114. [In Russ].
12. Admakin M. A., Admakina O. N., Timofeev D. Yu., Khalimonenko A. D. Deformation processes during high-speed milling of aluminum alloys. Tsvetnye Metally. 2025, no. 3, pp. 75—80. [In Russ]. DOI: 10.17580/tsm.2025.03.11.
13. Maiorov S. A., Lagunova Iu. A. Analysis of the stressed-deformed condition of the bearing installed. Minerals and Mining Engineering. 2020, no. 3, pp. 107—117. [In Russ]. DOI: 10.21440/0536-1028-2020-3-107-117.
14. Alshaer B. J., Lankarani M. L. Multiple lubricated joints with long and short bearings in multibody mechanical systems — Modeling, simulation, and performance analysis. Mechanism and Machine Theory. 2024, vol. 203, pp. 1—11. DOI: 10.1016/j.mechmachtheory.2024.105815.
15. Zhuravlev A. G., Glebov I. A., Chernykh V. V. Behaviour pattern of rock mass haulage energy intensity in deep pits. Mining Science and Technology (Russia). 2023, vol. 8, no. 1, pp. 68—77. [In Russ]. DOI: 10.17073/2500-0632-2022-09-12.
16. Ardah S., Profito F. J., Dini D. A comprehensive review and trends in lubrication modeling. Advances in Colloid and Interface Science. 2025, vol. 342, pp. 1—33. DOI: 10.1016/j.cis.2025.103492.
17. Khakulov V. A., Shapovalov V. A., Ignatov V. N., Karpova Zh. V., Ignatov M. V., Nogerov I. A. Justification of the rational scope and technology for the use of hydraulic excavators in surface mining. Mining Science and Technology (Russia). 2025, vol. 10, no. 4, pp. 338—345. [In Russ]. DOI: 10.17073/2500-0632-2025-09-460.
18. Mikhailov A. V., Bouguebrine C. Analysis excavator equipping with lidar sensors for functionality improving. International Journal of Engineering. 2025, vol. 39, no. 6, pp. 1414—1421. DOI: 10.5829/ije.2026.39.06c.10.
19. Stefan-Henningsen E., Roberts N., Kiani A. Enhancing tribological performance: A comprehensive review of grapheme-based additives in lubricating greases. Results in Engineering. 2025, vol. 25, pp. 1—16. DOI: 10.1016/j.rineng.2025.104551.
20. Semykina A. S., Zagorodniy N. A., Novikov A. N. Study of the effectiveness of the organization of the system of maintenance and repair of quarry transport of mining and processing plants. Transportation Research Procedia. 2022, vol. 63, pp. 983—989. DOI: 10.1016/j.trpro.2022.06.097.
21. Zheng K., Zhang X., Du K., Li S., Zhang J., Wu W., Xu B., Yang H., Zhang C. Oil film mixed lubrication of heavy-load friction pairs: Theoretical modeling, solution methods, and applications. Tribology International. 2025, vol. 216, pp. 1—25.
22. Gubarev A. V., Gubareva V. V. Gidrogazodinamika [Hydrogasdynamics], Belgorod, Izd-vo BGTU, 2025, 188 p.
23. Xu X., Liao X., Zhou T., He Z., Hu H. Vibration-based identification of lubrication starved bearing using spectral centroid indicator combined with minimum entropy deconvolution. Measurement. 2024, vol. 226, pp. 1—11. DOI: 10.1016/j.measurement.2024.114156.
24. Zhang R., Yu Y., Ou S., Hu L., Cao B., Xie L., Ma B. Research on the stress response characteristics of the crank-connecting rod mechanism under lubrication failure and auxiliary equipment malfunction. Engineering Failure Analysis. 2025, vol. 179, pp. 1—24. DOI: 10.1016/j.engfailanal.2025.109751.
25. Taşgın Ya., Kahraman G. Crack failure in hydrodynamically lubricated bearings: A case study hydraulic turbine. Engineering Failure Analysis. 2021, vol. 121, pp. 105—123. DOI: 10.1016/j.engfailanal.2020.105123.
26. Ouyang L., Huang H., Yang X. An intelligent lubricating oil quality detector integrating computer technology. Procedia Computer Science. 2024, vol. 243, pp. 819—825. DOI: 10.1016/j.procs.2024.09.098.
27. Neves M. D. M., Andrade A. H. P., Silva D. N. Analysis of the criticality of flaws found in trunnion of grinding ball mills used in mining plants. Engineering Failure Analysis. 2016, vol. 61, pp. 28—36. DOI: 10.1016/j.engfailanal.2015.07.037.
28. Levanov I. G., Zadorozhnaya E. A., Mukhortov I. V., Nikitin D. N. Modeling of hydrodynamic plain bearings taking into account the individual anti-wear properties of lubricants. Bulletin of the South Ural State University. 2021, vol. 21, no. 1, pp. 14—28. [In Russ]. DOI: 10.14529/engin210102.
29. Peng H., Chen Y., Shangguan L., Cheng R., Li Y., Yang C. Multi-objective-based intelligent lubrication system performance evaluation technology for construction machinery. Applied Sciences. 2023, vol. 13, no. 21, pp. 1—19. DOI: 10.3390/app132111768.
30. Ehlert D. Eliminating risks in bearing lubrication. World Pumps. 2012, vol. 7, pp. 24, 26, 28, 30, 31. DOI: 10.1016/S0262-1762(12)70153-0.
31. Crump W. J. J. Centralized lubrication for high temperature applications. Tribology. 1972, vol. 5, no. 2, pp. 78—80. DOI: 10.1016/0041-2678(72)90122-4.
32. Bugarić U., Jovanović R., Tanasijević M., Djenadić S. Prediction of technical systems availability using the simulation models based on the AI techniques and statistical methods. A case study: Bucket wheel excavator. Results in Engineering. 2025, vol. 27, pp. 1—16. DOI: 10.1016/j.rineng.2025.106692.
33. Yu G., Zhao Y., Fu Z., Chen Z. Application of back propagation neural network in the analysis of isothermal elastohydrodynamic lubrication. Tribology International. 2024, vol. 198, pp. 1—9. DOI: 10.1016/j.triboint.2024.109883.
34. Zhang T., Li R., Jin Y., Ouyang W., Zhu H., Dong X., Wei D., Bai Y. Structural health monitoring of water-lubricated stern bearing systems based on digital twins. Ocean Engineering. 2025, vol. 345, pp. 1—13. DOI: 10.1016/j.oceaneng.2025.123844.
35. Podkhalyuzin S. P., Ondrikov A. I., Seleznev M. S. Patent RU 2024101958, 26.06.2024. [In Russ].
36. Fedotov E. S., Shevtsov Yu. D., Kurashev I. V. Mathematical model for calculating the required volume of lubricant in the lubrication system of power plants. Modern Problems of Machine Theory. 2022, no. 13, pp. 46—49. [In Russ]. DOI: 10.26160/2307-342X-2022-13-46-49.
37. Bondarenko Yu. A., Bestuzheva O. V., Baranov D. S., Romanovich A. A. Prediction of the residual life of ball tube mills. Bulletin of BSTU named after V.G. Shukhov. 2024, no. 11, pp. 132—141. [In Russ]. DOI: 10.34031/2071- 7318-2024-9-11-132-141.
38. Valnev V. V., Koteleva N. I. On the issue of automation of maintenance and repair of industrial equipment. Modern High-Tech Technologies. 2024, vol. 5, no. 2, pp. 276—283. [In Russ]. DOI: 10.17513/snt.40040.
39. Koteleva N. I., Valnev V. V., Simakov A. S., Shirazi M. M. Digital transformation of industrial machinery repair and maintenance to build an industrial metaverse. Journal of Mining Institute. 2025, vol. 275, pp. 30—41. [In Russ].
40. Liu K., Shi X., Wang D., Feng Y., Jian Y., Li W. A method for the dynamic characteristic analysis of a rotor-rolling bearing system influenced by elastohydrodynamic lubrication. Journal of Sound and Vibration. 2025, vol. 608, pp. 1—19. DOI: 10.1016/j.jsv.2025.119075.
41. Tian Y., Zhang C., Yang L. Analysis of the longitudinal coupled dynamic characteristics of shaft-shell system considering the lubrication of thrust bearing. European Journal of Mechanics — A/Solids. 2025, vol. 113, pp. 1—22. DOI: 10.1016/j.euromechsol.2025.105726.