Have a personal or library account? Click to login
Mathematical model of differentiation of tractor reliability indicators and its application for given conditions of an agricultural enterprise Cover

Mathematical model of differentiation of tractor reliability indicators and its application for given conditions of an agricultural enterprise

Open Access
|Sep 2025

References

  1. Babchenko, L. A., Gulyarenko, A. A., 2020. Data control for reliability of agricultural tractors. Journal of Machinery Manufacture and Reliability, 49(10), 900–906. DOI: 10.3103/S1052618820100039
  2. Bukhari, H. J., 2017. Robust design optimization using the price of robustness, robust least squares and regularization methods. International Journal for Simulation and Multidisciplinary Design Optimization, 8, A13. DOI: 10.1051/smdo/2017007
  3. Cassady, C. R., Pohl, E. A., 1982. Optimal maintenance models for systems subject to failure - a review. Naval Research Logistics, 29(2), 419–446. DOI: 10.1002/nav.3800280104
  4. Che, C., Wang, H., Ni, X., Lin, R., 2021. Hybrid multimodal fusion with deep learning for rolling bearing fault diagnosis. Measurement, 173, 108655. DOI: 10.1016/j.measurement.2020.108655
  5. Chumakov, P. V., Martynov, A. V., Kolomeychenko, A. V., Hasan, I. H., Kolomeychenko, A. S., 2020. Evaluation of technical condition of round‑gear hydraulic pumps of tractor‑mounted hydraulic systems. Engineering Technologies and Systems, 30(3), 426–447. DOI: 10.15507/2658-4123.030.202003.426-447
  6. Durczak, K., Selech, J., Ekielski, A., Żelaziński, T., Waleński, M., Witaszek, K., 2022. Using the Kaplan–Meier Estimator to Assess the Reliability of Agricultural Machinery. Agronomy, 12(6), 1364. DOI: 10.3390/agronomy12061364
  7. Galiev, F. R., Starovoytov, S. I., Sidorov, S. A., Mironova, A., 2020. Field investigation of component failures of farm machinery in small farming. Open Agriculture, 9(1), 20220292. DOI: 10.1515/page-2022-0292
  8. Gorissen, B. L., Yanıkoğlu, İ., Den Hertog, D., 2015. A practical guide to robust optimization. Omega, 53, 124-137. DOI: 10.1016/j.omega.2014.12.006
  9. Gulyarenko, A. A., Bembenek, M. J., Iskakov, R. M., Shaimuratova, E. S., Gulyarenko, A. V., 2024. Development of a tractor reliability optimization model: A review of research and rationale for the components. Material and Mechanical Engineering Technology, (3). DOI: 10.52209/2706-977X_2024_3_54
  10. Gulyarenko, A. A., Ganiev, I. G., (2017. Kolichestvennaja ocenka vesomosti faktorov, vlijajushhih na nadjozhnost’ traktorov v jekspluatacii. Vestnik Nacional’noj Inzhenernoj Akademii Respubliki Kazakhstan, 1. 63. 121–127. https://sites.google.com/view/gulyarenko/homepage/science?authuser=0
  11. Gunawan, S., & Azarm, S., 2004. An efficient feasibility robust optimization method using a sensitivity region concept. ASME IDETC-CIE 2004 Proceedings, DETC2004‑57048. DOI: 10.1115/DETC2004-57048
  12. Kirovsky Zavod Group. (n.d.). Official website of Kirovsky Zavod Group. https://kzgroup.ru/
  13. Makkar, R., Aalam, B. E., Jain, M., & Ashwani., 2020. A review of cost analysis study of farm tractor. International Journal of Current Microbiology and Applied Sciences, 9(3), 2914–2921. DOI: 10.20546/ijcmas. 2020.903.335
  14. Najafi, B., & Torabi Dastgerdouei, S., 2015. Optimization of machinery use on farms with emphasis on timeliness costs. Journal of Agricultural Science and Technology, 17(3), 533–541. https://jast.modares.ac.ir/article-23-3458-en.html
  15. Shepelev, S. D., Pyataev, M. V., Shalonkina, E. V., 2022. Theoretical and experimental studies of the tractive resistance of the sowing complex for the no‑till technology. In Proceedings of the 8th International Conference on Industrial Engineering (ICIE 2022), 341–350. Springer. DOI:10.1007/978-3-031-14125-6_34
  16. Sherif, Y. S., Smith, M. L., 1981. Optimal maintenance models for systems subject to failure: A review. Naval Research Logistics Quarterly, 28(1), 47–74. DOI: 10.1002/nav.3800280104
  17. Shykhmat, A. O., Veres, Z. E., 2024. Agriculture vehicles predictive maintenance with telemetry, maintenance history and geospatial data. ACPS, 9(2), 134–139. DOI:10.23939/acps2024.02.134
  18. Siddique, M.A.A. et al., 2022. Development of the Reliability Assessment Process of the Hydraulic Pump for a 78 kW Tractor during Major Agricultural Operations. Agriculture, 12(10), 1609. DOI: 10.3390/agriculture12101609
  19. Sun, J., Zhang, Y., Chen, H., Qiao, J., 2023. Optimization model and application for agricultural machinery systems based on timeliness losses of multiple operations. Agriculture, 13(10), Article 1969. DOI:10.3390/agriculture13101969
  20. Susarev, S., Orlov, S., Bizyukova, E., Uchaikin, R., 2022. Models for predictive maintenance of robotic agricultural vehicles. In A. G. Kravets et al. (Eds.), Cyber-Physical Systems: Intelligent Models and Algorithms (pp. 123–136). Springer. DOI: 10.1007/978-3-030-95116-0_13
  21. Tian, F., Xu, Y., Li, Y., Wu, J., 2024. Economic and environmental benefits of digital agricultural technologies in crop production: A review. Smart Agricultural Technology, 8, 100441. DOI: 10.1016/j.atech.2024.100441
  22. Trent, M., Fischer, G., & Breunig, H., 2021. Cost analysis of autonomous battery electric tractors. Biosystems Engineering, 197, 23–34. DOI: 10.1016/j.biosystemseng.2021.02.005
  23. Versatile. (n.d.). Official website of Versatile Tractors. https://www.versatile-ag.com
  24. Zhao, Z. L., Yu, H. J., Cheng, F., 2022. An analysis of factors affecting agricultural tractors’ reliability using random survival forests based on warranty data. IEEE Access, 10. DOI: 10.1109/ACCESS.2022.3172348
DOI: https://doi.org/10.30657/pea.2025.31.36 | Journal eISSN: 2353-7779 | Journal ISSN: 2353-5156
Language: English
Page range: 394 - 400
Submitted on: Jun 24, 2025
Accepted on: Sep 4, 2025
Published on: Sep 26, 2025
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Alexandr Gulyarenko, Michał Bembenek, Ruslan Iskakov, Anna Gulyarenko, Tatyana Deshko, Elmira Shaimuratova, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.