Implementation of heads-up display system for predictive diagnostics and reliability enhancement in operation of BelAZ mine dump trucks

DOI: https://doi.org/10.30686/1609-9192-2026-4S-210-216

Читать на русскоя языке P.N. Makharatkin, E.A. Tarabrina
Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation
Russian Mining Industry №4S/ 2026 p. 210-216

Abstract: The paper justifies implementation of three integrated indicators, i.e. eco-driving (color-coded driving style assessment), comprehensive driving range (monitoring abnormal fluid consumption), and tire mileage (early warning of punctures, overheating, and tilting) using a head-up display for a BelAZ heavy-duty dump truck. Based on an analysis of the actual operating data for a 220-ton BelAZ dump truck for the period from November 2025 to March 2026 (204,480 minutes of operation), the dominant types of anomalies leading to emergency downtime were identified. A correlation analysis was conducted of the joint occurrence of various anomalies during the operation of BelAZ heavy-duty dump trucks in a quarry, with the identification of events that coincided in time with the recorded errors in the monitoring system. The system's implementation is expected to reduce emergency downtime by more than a third, ensure rapid return on investment, and reduce tire and hydraulic equipment repair costs. An increase in the comprehensive reliability indicator, specifically the utilization rate, has been achieved by reducing equipment downtime and the number of operational failures through improved efficiency and prioritization of the information received by the operator using predictive diagnostics in dump truck operations at mining facilities.

Keywords: dump truck, heads-up display, utilization rate, monitoring system, unplanned downtime, tyre failure, hydraulic pump failure, operating costs

For citation: Makharatkin P.N., Tarabrina E.A. Implementation of heads-up display system for predictive diagnostics and reliability enhancement in operation of BelAZ mine dump trucks. Russian Mining Industry. 2026;(4S):210–216. (In Russ.) https://doi.org/10.30686/1609-9192-2026-4S-210-216

Article info

Received: 20.05.2026

Revised: 29.07.2026

Accepted: 13.08.2026

Information about the authors

Pavel N. Makharatkin – Cand. Sci. (Eng.), Associate Professor of the Department of Mining Machinery and Complexes, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation; https://orcid.org/0000-0002-9376-061X; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Elizaveta A. Tarabrina – Student Majoring in Mining Transport Systems of the Department of Mining Machinery and Complexes, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation

References

1. Karpova S.V., Ustinova O.E. Technological and marketing trends in the mining industry. Russian Mining Industry. 2025;(3):170–179. (In Russ.) https://doi.org/10.30686/1609-9192-2025-3-170-179

2. Shedko Yu.N., Kharchenko K.V., Zudenkova S.A., Moskvitina E.I., Babayan L.K. A synergetic approach to openpit mine management using big data and intelligent predictive analytics systems. Russian Mining Industry. 2025;(1):154–160. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1-154-160

3. Chernukhin S.A., Koltsov N.S., Bodrov D.A., Romanov N.S. Application of digital technologies to improve the efficiency of quarry vehicles. In: Innovative Development of Ground Transport Equipment and Technologies: Proceedings of the 6th All-Russian Scientific and Practical Conference, Yekaterinburg, December 13, 2024. Yekaterinburg: Ural University Publishing House; 2025. pp. 124–129. Available at: https://elar.urfu.ru/handle/10995/143216 (accessed: 27.12.2026). (In Russ.)

4. Nevzorov D.N., Trufanova I.S. Improving the efficiency of the conveyor train: investigation of the impact of the drive station parameters on the traction force. Russian Mining Industry. 2025;(1):184–191. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1-184-191

5. Ganin A.R., Samolazov A.V., Donchenko T.V. Development strategy and new line of mining excavators manufactured by IZ-KARTEX (OMZ Group). Russian Mining Industry. 2012;(4):28–33. (In Russ.)

6. Doroshev Yu.S., Nestrugin S.V. Improving the technological reliability of mining excavators. Vladivostok: FESTU Publishing House; 2009. 192 p. (In Russ.)

7. Makharatkin P.N., Abdulaev E.K., Vishnyakov G.Yu., Botyan E.Yu., Pushkarev A.E. Increase of efficiency of dump trucks functioning on the basis of justification of their rational speed by means of simulation modeling. Mining Informational and Analytical Bulletin. 2022;(6-2):237–250. (In Russ.) https://doi.org/10.25018/0236_1493_2022_62_0_237

8. Zhuravlev A.G., Isakov M.V. Experimental testing of open pit dump trucks in operating conditions. Mining Informational and Analytical Bulletin. 2020;(3-1):530–542. (In Russ.) https://doi.org/10.25018/0236-1493-2020-31-0-530-542

9. Vishnyakov G.Yu., Pushkarev A.E., Botyan E.Yu., Khloponina V.S. Justification of rational modes of operation of quarry dump trucks in case of over-normative operation. Mining Informational and Analytical Bulletin. 2023;(11-1):24–37. (In Russ.) https://doi.org/10.25018/0236_1493_2023_111_0_24

10. Avksentiev S.Yu., Belousov V.I. Determination of rational parameters for non-stop operation of hydraulic transport systems in low temperature conditions. Russian Mining Industry. 2025;(1S):86–91. (In Russ.) https://doi.org/10.30686/1609-9192-2025-1S-86-91

11. Troyanovskaya I. Influence of mountain conditions on road fuel consumption (Example of the Republic of Tajikistan). Transportation Research Procedia. 2022;61:273–279. https://doi.org/10.1016/j.trpro.2022.01.045

12. Yi K., Feng H., Liu X. Analysis and optimization of stiffness damping characteristics on hydro-pneumatic suspension in mine dump truck. Journal of Nantong University (Natural Science Edition). 2024;23(4):54–63. (In Chinese). https://doi.org/10.12194/j.ntu.20231226001

13. Pryalukhin A.F., Martyushev N.V., Malozyomov B.V., Klyuev R.V., Filina O.A., Konyukhov V.Y., Makarov A.A. Improvement of operational reliability of units and elements of dump trucks taking into account the least reliable elements of the system. World Electric Vehicle Journal. 2024;15(8):365. https://doi.org/10.3390/wevj15080365

14. Nazarychev A.N., Dyachenok G.V., Sychev Y.A. A reliability study of the traction drive system in haul trucks based on failure analysis of their functional parts. Journal of Mining Institute. 2023;261:363–373. Available at: https://pmi.spmi.ru/pmi/article/view/16189 (accessed: 20.02.2026).

15. Andreeva L.I., Ushakov Yu.Yu. Research of operational reliability of quarry dump trucks. Izvestiya Uralskogo Gosudarstvennogo Gornogo Universiteta. 2016;(3):74–77. (In Russ.) Available at: http://iuggu.ru/index.php/archive/xxi-vek/2016/3-2016/78-ru/479-14-3-16 (accessed: 18.01.2026).

16. Lan K., Yu W., Huang C., Zhou Y., Li Z., Huang W. Multi-objective optimization design for anti-fatigue lightweight of dump truck carriage combined with machine learning. Advances in Mechanical Engineering. 2024;16(9). https://doi.org/10.1177/16878132241269244

17. Vlasov Yu.A., Spirin E.N., Lyapin A.N., Lyapina O.V., Chechulin K.N. Analysis of the reasons of low operational reliability of career dump trucks. Scientific Review. Technical Science. 2016;(5):37–44. (In Russ.) Available at: https://science-engineering.ru/ru/article/view?id=1110 (accessed: 20.02.2026).

18. Rakhutin M.G., Giang K.Q., Krivenko A.E., Tran V.H. Evaluation of the influence of the hydraulic fluid temperature on power loss of the mining hydraulic excavator. Journal of Mining Institute. 2023;261:374–383. Available at: https://pmi.spmi.ru/pmi/article/view/16193 (accessed: 20.02.2026).

19. Seifoori S., Parrany A.M., Khodayari M. A high-cycle fatigue failure analysis for the turbocharger shaft of BELAZ 75131 mining dump truck. Engineering Failure Analysis. 2020;116:104752. https://doi.org/10.1016/j.engfailanal.2020.104752

20. Carman D.S.I.A.B., Zainuri A.M. Analisis Perawatan pada Unit Dump Truck FMX 440 Kapasitas 30 Ton dengan Metode Reliability Centered Maintenance (RCM). Al-DYAS. 2024;3(3):1070–1079. https://doi.org/10.58578/aldyas.v3i3.3642

21. Luo C., Gao J., Xue J., Zhang Z. Fatigue and fracture performance of sealing ring of hydraulic lifting system of dump truck under different working conditions. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. 2024. https://doi.org/10.1177/09544089241304291

22. Long L.X., Van Quynh L., Tuan N.V., Chau N.M., Minh N.K. A study on the nonlinear characteristics of hydro-pneumatic suspension systems for mining dump trucks. Engineering, Technology & Applied Science Research. 2025;15(1):20249–20257. https://doi.org/10.48084/etasr.9744

23. Sychev Yu.A., Nazarychev A.N., Dyachenok G.V. Improving the labor safety of mining dump truck drivers by reducing the risk of failure of the functional units of the traction electric drive under operating conditions. Occupational Safety in Industry. 2023;(9):52–58. (In Russ.) https://doi.org/10.24000/0409-2961-2023-9-52-58

24. Mikhailov A.V., Bouguebrine C. Analysis excavator equipping with lidar sensors for functionality improving. International Journal of Engineering, Transactions C: Aspects. 2026;39(6):1414–1421. Available at: https://www.ije.ir/article_226623.html (accessed: 20.02.2026).

25. Zadkov D.A., Martyushev N.V., Malozyomov B.V., Demin A.Y., Pogrebnoy A.V., Kuleshova E.E., Valuev D.V. Mathematical modeling of operational reliability of mine lifting equipment based on censored data. Mathematics. 2026;14(4):716. https://doi.org/10.3390/math14040716

26. Klebanov A.F., Sizemov D.N., Kadochnikov M.V. Integrated approach to remote monitoring of technical and operating conditions of mine dump trucks. Russian Mining Industry. 2020;(2):75–81. (In Russ.) https://doi.org/10.30686/1609-9192-2020-2-75-81

27. Moniri-Morad A., Sattarvand J. A comparative study between the system reliability evaluation methods: case study of mining dump trucks. Journal of Engineering and Applied Science. 2023;70:103. https://doi.org/10.1186/s44147-023-00272-y

28. Botyan E.Y., Lavrenko S.A., Pushkarev A.E. Methodology for refined calculation of mean time to repair of mining dump truck suspension elements with account of mining and technical conditions of their operation. Russian Mining Industry. 2024;(1):71–76. (In Russ.) https://doi.org/10.30686/1609-9192-2024-1-71-76

29. Goryachkin B.S., Garanov K.V., Bgattsev A.V. Improving the ergonomics of vehicles by introducing projection displays. E-SCIO. 2020;(6):104–118. (In Russ.) Available at: https://e-scio.ru/wp-content/uploads/2020/06/Горячкин-Б.-С.-Гаранов-К.-В.-Бгатцев-А.-В..pdf (accessed: 20.02.2026).

30. Malina K.A. Improving vehicle operation safety through the use of HUD technology. In: Khalikov A.R. (ed.) Innovative Approaches to Solving Scientific Problems: Collection of Proceedings of the 13th International Competition of Research Works, Ufa, May 22, 2023. Ufa: Scientific Publishing Center "Vestnik Nauki"; 2023. pp. 24–31. (In Russ.)

31. AlHayek S., Souib S., Meechang K., Medini K. Exploring agile methods application in manufacturing. In: Thürer M., Riedel R., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol. 732. Cham: Springer; 2024, pp. 48–60. https://doi.org/10.1007/978-3-031-71637-9_4

32. Potsebneva I.V. Means and Methods of Quality Management. Voronezh: VSTU Publishing House; 2021. 35 p. (In Russ.)

33. Jahed A., Moghaddam R.T. Mathematical modeling for a flexible manufacturing scheduling problem in an intelligent transportation system. Interdisciplinary Journal of Management Studies. 2021;14(1):189–208. https://doi.org/10.22059/ijms.2020.261618.673203

34. Builenko V.Ya., Zhankaziev S.V., Dementienko V.V., Korotkova Yu.A., Gavrilyuk M.V. Psychological Features of a Person When Driving a Motor Vehicle. Moscow: MADI Publishing House; 2017. 172 p. (In Russ.)

35. Bokhantsev T.F., Podgorny A.I. Features of methodology for calculating tonne-kilometers per hour. Science Bulletin. 2024;2(11):1181–1186. (In Russ.) Available at: https://www.вестник-науки.рф/article/18601 (accessed: 20.02.2026).