Increasing the efficiency of diagnostics of the brush-collector assembly of mining dump trucks

Quarry dump trucks play a significant role in the infrastructure of coal mines, moving various rocks, including coal, from mining sites to consumers. They are an integral part of the process cycle in surface mining. Any unexpected failure or malfunction of the equipment and subsystems of an open pit dump truck causes serious economic losses, including the cost of restoring serviceability and lost profits due to reduced productivity at the mine site due to the disruption of the process cycle. Therefore, it is necessary to minimize the number and time of unexpected repairs. This paper presents a new approach in diagnosing traction motors including brush-collector assembly and bearings. It allows to expand the possibilities of diagnostics of units and elements of electric motors. In the article the methodology providing reliability of diagnostics is considered in detail, and also the possibility of remote diagnostics is described and ways of automation of the process are offered. The mathematical model used for monitoring the condition of the brush-collector assembly is also presented. The report presents a methodology for predicting the residual life of the electric brush of a DC motor. This methodology is based on the use of monitored reliability indicators that are described in the mathematical model. The use of vibration diagnostics in this model significantly increases the accuracy of prediction and the ability to detect failures on the DC motor. The report also provides a general formula for calculating the remaining life of an electric brush, and discusses ways to improve prediction when using vibration diagnostic techniques to study the life of an electric brush.

Keywords: Mining dump truck, traction motor, commutation stability, brush wear, operating modes.
For citation:

Filina O. A., Malozyomov B. V., Lisitsyn P. S. Increasing the efficiency of diagnostics of the brush-collector assembly of mining dump trucks. MIAB. Mining Inf. Anal. Bull. 2023;(101):261—279. [In Russ]. DOI: 10.25018/0236_1493_2023_101_0_261.

Issue number: 10
Year: 2023
Page number: 261-279
ISBN: 0236-1493
UDK: 621.313.3
DOI: 10.25018/0236_1493_2023_101_0_261
Article receipt date: 18.04.2023
Date of review receipt: 02.06.2023
Date of the editorial board′s decision on the article′s publishing: 10.10.2023
About authors:

Filina O. A., senior prep. Department of Electrical Complexes and Systems. The number of published scientific works is 188. Field of research — Diagnostics and reliability, electric motors rolling stock. State Budgetary Educational Institution of Higher Education Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20, e-mail:;
Malozyomov B. V., Cand. Sci. (Eng.), Associate Professor of the Department of Electrical Engineering Complexes. The number of published scientific works is 154. Field of research — Diagnostics and reliability, Computer, network and information technologies. Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20, e-mail:, +79658255983
Lisitsyn P. S., assistant of the department of “Electrotechnical complexes” of the Novosibirsk State Technical University (NSTU-NETI), master.


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1. Wu X., Kukartsev V. V., Tynchenko V. S., Bukhtoyarov V. V., Tyncheko Y. A., Kukartsev V. A. Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs. Energies. 2023, vol. 16, 4907. DOI: 10.3390/en16134907.

2. Sychev Y. A., Kostin V. N., Serikov V. A., Aladyin M. E. Analysis of non-sinusoidal modes in power supply systems of mining enterprises with nonlinear load and capacitor units. MIAB. Mining Inf. Anal. Bull. 2023, no. 1, pp. 159–179. DOI: 10.25018/0236_1493_ 2023_1_0_159.

3. Khazin M. L., Apakashev R. A. Quarry dump trucks on hydrogen fuel. MIAB. Mining Inf. Anal. Bull. 2022, no. 1, pp. 47–59. [In Russ]. DOI: 10.25018/0236_1493_2022_1_0_47.

4. Filina O., Yashagina A., Salnikova O. Determination of the characteristic points of approximation for traction electric machines of electric rolling stock. Proceedings 2021 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2021. 2021, pp. 791–796.

5. Sheshko O. E. Ecological and economic substantiation of the possibility of reducing the load on the natural environment from quarry transportation. MIAB. Mining Inf. Anal. Bull. 2017, no. 2, pp. 241–252. [In Russ].

6. Abramov B. I., Ivanov A. G., Shilenkov V. A., Kuzmin I. K., Shevyrev Yu. V. Electric drive of the modern mine hoisting machines. MIAB. Mining Inf. Anal. Bull. 2022, no. 5−2, pp. 145–162. [In Russ]. DOI: 10.25018/0236_1493_2022_52_0_145.

7. Filina O., et al. Vibration diagnostics of the brush-collector assembly, as means of assessing. Proceedings of the 2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2022. DOI: 10.1109/REEPE53907.2022.9731424.

8. Shchurov N. I., et al. Investigation of the collector-brush unit operation of the traction electric motors on the mathematical models. Scientific problems of transport of Siberia and the Far East. 2010, no. 1, pp. 326–329. [In Russ].

9. Stepanov E. L. Methods and means of increase of a resource of brushes of traction electric motors Cand. Sci., 05.09.01, 2010, Novosibirsk. 2010, 214 p. [In Russ].

10. Sorokova S. N., Efremenkov E. A., Valuev D. V., Qi M. Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport. Mathematics. 2023, vol. 11, 3317. DOI: 10.3390/math11153317.

11. 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.

12. Gericke P. B., Gericke 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: 10.26730/1816-4528-2021-217−22.

13. Voitovich E. V., Kononenko R. V., Konyukhov V. Y., Tynchenko V., Kukartsev V. A., Tynchenko Y. A. Designing the Optimal Configuration of a Small Power System for Autonomous Power Supply of Weather Station Equipment. Energies. 2023, vol. 16, 5046. DOI: 10.3390/en16135046.

14. Gericke P. B. On a unified diagnostic criterion for identifying defects of electrical machines by the parameters of mechanical vibrations. Izvestiya Ural’skogo gosudarstvennogo gornogo universiteta. 2019, no. 2 (54), pp. 100–106. [In Russ].

15. Abu-Abed F. N., Martynov D. V., Sergienko S. V., Kordyukov R. Yu. Simulation model for estimating the productivity of the repair and diagnostic complex. Software Products and Systems. 2015, no. 5, pp. 107–116. [In Russ]. DOI:10.15827/0236— 235X.109.107−116.

16. Aldannawy H., Rouabhi A., Gerbaud L. Percussive drilling: Experimental and numerical investigations. Rock Mechanics and Rock Engineering. 2022, vol. 55, no. 3, pp. 1555–1570. DOI: 10.1007/s00603-021-02707-5.

17. Vinogradov A. B., Gnezdov N. E., Zhuravlev S. V., Sibirtsev A. N. Results of the development and testing of the electrical equipment set of the 240 t dump truck. Electrical engineering. 2015, no. 3, pp. 38–45. [In Russ].

18. Khazin M. L. Electrified motor transport for underground and open-pit mining. Izvestia Ural State Mining University. 2019, no. 1(53) pp. 128–135. [In Russ]. DOI: 10.21440/23072091-2019-1-128−135.

19. Khalikov I. H., Kukartsev V. A., Kukartsev V. V., Tynchenko V. S., Tynchenko Y. A., Qi M. Review of Methods for Improving the Energy Efficiency of Electrified Ground Transport by Optimizing Battery Consumption. Energies. 2023, vol. 16, 729. DOI: 10.3390/ en16020729.

20. Shchurov N. I., Dedov S. I., Malozyomov B. V., Shtang A. A., Martyushev N. V., Klyuev R. V., Andriashin S. N. Degradation of Lithium-Ion Batteries in an Electric Transport Complex. Energies. 2021, vol. 14, 8072.

21. Martyushev N. V., Malozyomov B. V., Sorokova S. N., Efremenkov E. A., Qi M. Mathematical Modeling of the State of the Battery of Cargo Electric Vehicles. Mathematics. 2023, vol. 11, 536.

22. Zhang Wei, Yang J., Zhang W., Ma F. Research on regenerative braking of pure electric mining dump truck. World Electric Vehicle Journal. 2019, vol. 10, pp. 39. DOI: 10.3390/ wevj10020039.

23. Oparina T. A., Zagorodnii N. A., Efremenkov E. A., Qi M. Mathematical Analysis of the Reliability of Modern Trolleybuses and Electric Buses. Mathematics. 2023, vol. 11, 3260. DOI: 10.3390/math11153260.

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