Improvement of the system of maintenance and repair of mining machines according to the actual state

The risk assessment of mining machine failure is the most important step in the implementation and modernization of a good service system. A fresh and innovative approach is required in relation to the selection of an optimal and modern maintenance strategy, acting as an anti-degradation factor. Within the framework of such a fresh and combined strategy, such maintenance and repair systems as RCM (Reliability-Centered Maintenance) and RСM II (RiskBased Maintenance) have successfully proven themselves. A technique has been developed to improve the efficiency of transmissions of mining machines by improving the operating mode of lubrication of the working surfaces of resource-determining interfaces. The article describes a technique for assessing the residual life of a large-module open gear transmission of a mining machine. It has been experimentally confirmed that the hardness of the surface layer of the metal of parts that are in conjunction changes depending on the time of operation, that is, the hardness of the surface layer can be used as a parameter for monitoring the degree of wear and residual life of parts. The possibility of increasing the efficiency and wear resistance of resource-determining interfaces of transmissions of mining machines by the formation of artificial environments for their functioning and renovation of the lubricant is substantiated on the basis of an assessment of the change in the value of the acoustic signal of the ultrasonic range in a friction pair generated by resource-determining interfaces.

Keywords: mining machine, preventive maintenance, maintenance strategy, transmission, residual life, lubricant, ultrasonic acoustic signal, lubricant renovation.
For citation:

Knyazkina V. I., Ivanov S. L. Improvement of the system of maintenance and repair of mining machines according to the actual state. MIAB. Mining Inf. Anal. Bull. 2022;(6−2):223—236. [In Russ]. DOI: 10.25018/0236_1493_2022_62_0_223.

Issue number: 6
Year: 2022
Page number: 223-236
ISBN: 0236-1493
UDK: 621.43.068
DOI: 10.25018/0236_1493_2022_62_0_223
Article receipt date: 14.01.2022
Date of review receipt: 08.04.2022
Date of the editorial board′s decision on the article′s publishing: 10.05.2022
About authors:

Knyazkina V. I., Postgraduate student of the Department of Mechanical Engineering,, Saint Petersburg Mining University, Saint Petersburg, Russia, e-mail:;
Ivanov S. L., Dr. Sci. (Eng.), Professor of the Department of Mechanical Engineering,, Saint Petersburg Mining University, St. Petersburg, Russia, e-mail:


For contacts:

Knyazkina Valeria Ivanovna, e-mail:


1. Andreeva L. I. The choice of a strategy for the maintenance of mining equipment // News of higher educational institutions. Mining Journal, 2021, no. 4, pp. 83−91. [In Russ]. DOI: 10.21440 / 0536-1028-2021-4-83−91.

2. Vavilov A. V., Yatskevich V. V., Maksimenko A. N. Methods for assessing the technical condition when diagnosing mechanical and hydromechanical transmissions of road-building and transport equipment. Bulletin of the Belarusian-Russian University. 2012, no. 1 (34), pp. 5−12. [In Russ].

3. Vasilchenko V. Diagnostics of the technical condition of the hydraulic drive of mobile machines. URL: (date accessed: 15.04.2021)

4. Velikanov V. S. Forecasting the loading of the working equipment of a mining excavator using a fuzzy logistic model. Zapiski Gornogo instituta, 2020, no. 241, pp. 29−33. [In Russ]. DOI: 10.31897 / pmi.2020.1.29.

5. Guericke P. B., Guericke B. L. Formation of a unified diagnostic criterion for assessing the technical condition of mining equipment. Mining equipment and electromechanics. 2021, no. 2., pp. 17−22. [In Russ]. DOI: 10.26730 / 1816-4528-2021-2-17−22.

6. Drygin M. Yu. Analysis of maintenance and repair systems for mining equipment. Mining equipment and electromechanics. 2020, no. 2, pp. 35−43. [In Russ]. DOI: 10.26730 / 1816-4528-2020-2-35−43.

7. Komissarov A. P., Lagunova Yu. A., Nabiullin R. Sh., Khoroshavin S. A. Digital model of the process of excavation of rocks by the working equipment of a quarry excavator. MIAB. Mining Inf. Anal. Bull. 2022, no. 4, pp. 156−168. [In Russ]. DOI: 10.25018/0236-14932022-4-0−156.

8. Kudrevatykh A. V., Ashcheulov A. S., Ashcheulova A. S. Comparative characteristics of the wear process of gearboxes of excavators and mining dump trucks. Mining equipment and electromechanics. 2020, no. 5, pp. 51 — 56. [In Russ]. DOI: 10.26730 / 1816-4528-2020-5-51−56.

9. Leliovskiy K. Ya. Influence of the level and availability of lubricants in gearboxes of vehicles on the values of their vibration. Transport systems. 2019, no. 3 (13), pp. 30−37. [In Russ].

10. Mislibaev I. T., Makhmudov A. M., Makhmudov Sh. A. Theoretical generalization of operating modes and modeling of operational indicators of excavators. MIAB. Mining Inf. Anal. Bull. 2021, no. 1, pp. 102−110. [In Russ]. DOI: 10.25018/0236-1493-2021-10−102−110.

11. Moskvichev V. V., Kovalev M. A. The study of reliability indicators of the main groups of equipment for open-pit hydraulic excavators. MIAB. Mining Inf. Anal. Bull. 2021, no. 7, pp. 96−112. [In Russ]. DOI: 10.25018/0236-1493-2021-7-0−96.

12. Andreeva L. I., Krasnikova T. I. Integral estimation of the activity of the maintenance department of the mining company. IOP Conf. Series: Materials Science and Engineering, 2020, no. 1. DOI: 10.1088 / 1757−899X / 709/4/044044.

13. Bley T., Pignanelli E., Schȕtze A. Multi-channel IR sensor system for determination of oil degradation, 2014, vol. 5, pp. 121−132.

14. Dindarloo R., Siami-Irdemoosa E., Frimpong S. Measuring the effectiveness of mining shovels. Mining Engineering, 2016, vol. 68, no. 3., pp. 45−50. DOI: https://doi. org/10.19150/me.6501.

15. Garneau C., Duchesne S., St-Hilaire A. Comparison of modelling approaches to estimate trapping efficiency of sedimentation basins on peatlands used for peat extraction. Ecological Engineering. 2019, vol. 133, pp. 60−68. DOI: 10.1016/j.ecoleng.2019.04.025.

16. Horáčková Š. Historical changes and vegetation development after intensive peat extraction in the lowland mires of Slovakia. Applied Ecology and Environmental Research. 2018, no. 4, pp. 5025−5045. DOI: 10.15666/aeer/1604_50255045.

17. Knyazkina V. I., Safronchuk K. A., Ivanov S. L., Pumpur E. V. Assessment of the state of a lubricator by the size of the acoustic signal in a loaded pair of friction of a mining machine transmission. Journal of Physics: Conference Series, 2020, vol. 1515, pp. 1−5. DOI: 0.1088/1742−6596/1515/5/052037.

18. Kuvshinkin S. U., Zvonarev I. E., Ivanova P. V. Relationship of Dynamic Properties of Mine Excavator Hoisting Mechanism versus Design Parameters of Operating Equipment. Journal of Physics: Conference Series. 2018, no. 1, pp. 1−6. DOI:10.1088/1742−6596/111 8/1/012054.

19. Yang Z., Baraldi P., Zio E. A Novel Method for Maintenance Record Clustering and Its Application to a Case Study of Maintenance Optimization. Reliability Engineering & System Safety. 2020, vol. 203, pp. 103−107. DOI: 10.1016/j.ress.2020.107103.

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