Increasing the reliability of the traction electric motor of a mining dump truck for the coal industry

The development of the Russian coal industry in the perspective up to 2030 includes improvement of equipment reliability and performance of the mining infrastructure. The element of a transportation infrastructure of the mining industry are open-pit and mine dump trucks, which allow to transport large volumes of minerals and serve as a means of transportation in the technological process of open-pit mining of mineral resources. If one of the dump truck systems fails and causes an unplanned shutdown, it results in significant financial losses. These losses arise from the requirement to perform repairs on the system and the consequent decrease in productivity during the mining process, leading to a loss of profits. In the article a mathematical model of reliability of brush-collector unit of traction electric motors of quarry dump trucks was developed. By utilizing the suggested model, it becomes possible to precisely determine the remaining lifespan of brushes based on the maximum wear height threshold. The application of this particular model significantly enhances the precision in forecasting and identifying failures in the direct current of electric motors. Depending on the height of the brush in operation, a study and calculation of the reliability of the brush-collector assembly based on the presented model, in which the main dimensions of the brush and its serviceability are determined.

Keywords: Mining dump truck, traction motor, commutation stability, brush wear, operating modes, Indicators of reliability, failure, methods of forecasting, operation, wear rate.
For citation:

Shchurov N. I., Filina O. A., Malozyomov B. V. Increasing the reliability of the traction electric motor of a mining dump truck for the coal industry. MIAB. Mining Inf. Anal. Bull. 2023;(10-1):245—260. [In Russ]. DOI: 10.25018/0236_1493_2023_101_0_245.

Acknowledgements:
Issue number: 10
Year: 2023
Page number: 245-260
ISBN: 0236-1493
UDK: 621.313.3
DOI: 10.25018/0236_1493_2023_101_0_245
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:

Shchurov N. I., Dr. Sci. (Eng.), Professor, Head of the Department of Electrotechnical Complexes. The number of published scientific papers is 305. The area of scientific research is improving the energy efficiency of electrical complexes and systems. Federal State Budgetary Educational Institution of Higher Education Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20. Contact information: shhurov@corp. nstu.ru;
Filina O. A., senior prep. Department of Electrical Complexes and Systems. The number of published scientific works is 203. Field of research — Diagnostics and reliability, electric motors rolling stock. Federal State Budgetary Educational Institution of Higher Education Novosibirsk State Technical University, 630073, Novosibirsk, K. Marx Ave., 20. Contact details: olga_yuminova83@mail.ru;
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. Contact details: mbv5@mail.ru.

 

For contacts:
Bibliography:

1. Shchurov N. I., Myatezh S. V., Malozyomov B. V., Shtang A. A. Determination of Inactive Powers in a Single-Phase AC Network. Energies 2021, 14, 4814. doi: 10.3390/ en14164814.

2. 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.

3. 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].

4. Komissarov A. P., Lagunova Y. A., Nabiullin R. Sh., Khoroshavin S. A. Digital model of the process of rock excavation by the working equipment of the quarry excavator. MIAB. Mining Inf. Anal. Bull. 2022, no. 4, pp. 156–168. [In Russ]. DOI: 10.25018/0236_1493_20 22_4_0_156.

5. Abramov B. I., Ivanov A. G., Shilenkov V. A., Kuzmin I. K., Shevyrev Yu. V. Electrodrive of 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.

6. 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.

7. Filina O., Vakhitov K., Starodubets A. and Salnikova O. Vibration Diagnostics of the Brush-Collector Assembly, as Means of Assessing 2022. 4th International Youth Conference on Ra-dio Electronics, Electrical and Power Engineering (REEPE), Moscow, Russian Federation. 2022, pp. 1–5. DOI: 10.1109/REEPE53907.2022.9731424.

8. Shchurov N. I. Investigation of the collector-brush unit of traction motors on 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. Autoref. kand. tech. sciences: 05.09.01: 2010, Novosibirsk. 2010, 21 p. [In Russ].

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

11. Andreeva L. I. Choice of strategy of repair maintenance of mining equipment. Izvestiya vysokikh uchebnykh uchebnykh obrazovaniya. 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 single diagnostic criterion for evaluation of 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. Moskvichev V. V., Kovalev M. A. Investigation of reliability indicators of the main equipment groups of quarry hydraulic excavators. MIAB. Mining Inf. Anal. Bull. 2021, no. 7, pp. 96–112. [In Russ]. DOI: 10.25018/02361493−2021−7-0−96.

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 universitet. 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 of the repair and diagnostic complex productivity estimation. 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 quarry dump truck with the payload capacity of 240 tons. Electrotekhnika. 2015, no. 3, pp. 38–45. [In Russ].

18. Khazin M. L. Electrified motor transport for underground and surface mining operations. Izvestiya Ural’skogo gosudarstvennogo gornogo universitet. 2019, no. 1(53), pp. 128–135. [In Russ]. DOI: 10.21440/2307-2091-2019-1-128−135.

19. 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, p. 39. DOI: 10.3390/ wevj10020039.

20. 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. https://doi. org/10.3390/en16020729. https://doi.org/10.3390/en16020729.

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. https://doi.org/10.3390/math11030536.

22. 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. https://doi.org/10.3390/en14238072.

23. Voitovich E. V., Kononenko R. V., Konyukhov V. Y., Tynchenko V. S., 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.

Our partners

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.