ASSESSMENT OF THE TRACTORS TECHNICAL CONDITION AT THE AGRO-INDUSTRIAL ENTERPRISES OF THE OMSK REGION, TAKING INTO ACCOUNT THE COSTS OF ELIMINATING EMERGING FAILURES

O V MYALO

UDC 631.36

ASSESSMENT OF THE TRACTORS TECHNICAL CONDITION AT THE AGRO-INDUSTRIAL ENTERPRISES OF THE OMSK REGION, TAKING INTO ACCOUNT THE COSTS OF ELIMINATING EMERGING FAILURES

Published in Vestnik of Omsk SAU · Volume 61, Issue 1 · Pages 171–179 · Rubric: AGROENGINEERING

EDN: HLZABD

Received: 06.03.2026 Accepted: 15.03.2026 Published: 25.03.2026

Authors

O V MYALO

Оmsk State Agrarian University named after P.A. Stolypin , Omsk, Russia

ABSTRACT

It's well-founded that agricultural production suffers significant losses due to equipment failures. The technological process of machine maintenance, repair, and operation on farms can be represented by a multitude of internal characteristics, operating conditions, fleet age, adopted technical intervention strategies, and fleet utilization modes. The influence of all these indicators and factors determines the actual technical condition of the machine. A number of factors and negative processes lead to a reduction in the number of machines in use, a decrease in their availability, and an increase in the failure rate. All of this combined means that the reliability indicators of aging equipment must be primarily considered when calculating crop sowing volumes and the timing of technological operations, which ultimately determines the overall costs of mechanized field work. Statistical data analysis methods were used in the study. This paper presents observation data on K-701 tractors in the production conditions of enterprises in the Omsk Region and determines the material costs of maintenance and ongoing repairs of these tractors. The analysis period spanned three years. A methodology for determining tractor downtime losses and additional repair and maintenance costs was developed. Failures of the monitored tractors were identified and categorized by location, allowing for an analysis of their causes and the development of recommendations for their prevention. The data was compared with the resulting tractor utilization charts for the year under review.

KEYWORDS

tractor, failure, maintenance, repair, operation, engine

1. Determining the workload of the machine and tractor fleet maintenance service in agriculture using the scheduling method / O.V. Myalo [et al.] // EDP SCIENCES S A, 17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, LES ULIS CEDEX A, FRANCE, F-91944, 2023.C. 01045. EDN: https://elibrary.ru/VHNRSH

2. Pomogaev V.M. Monitoring tehnicheskogo sostoyaniya sel'skohozyaystvennyh mashin i kachestva vypolneniya tehnologicheskih operaciy // Vestnik Omskogo gosudarstvennogo agrarnogo universiteta. 2023. № 2(50). S. 143-152. EDN: https://elibrary.ru/ZARPBA

3. Solomkin A.P. Formirovanie i obespechenie gotovnosti traktorov: dis. … d.-ra tehn. nauk. Novosibirsk, 1989. 768 s.

4. Redreev G.V., Luchinovich A.A., Boltovsky S.N. Transport Vehicle Maintenance Optimization // IOP Conference Series: Earth and Environmental Science, City of Vladivostok, 25-26 yanvarya 2021 goda. Vladivostok, 2021. P. 012043. DOI:https://doi.org/10.1088/1755-1315/720/1/012043 EDN: https://elibrary.ru/WBNFWS

5. Formirovanie parka sel'skohozyaystvennyh traktorov v Krasnoyarskom krae / N.I. Selivanov [i dr.] // Dostizheniya nauki i tehniki APK. M., 2017. № 9. S. 72-75. EDN: https://elibrary.ru/ZQPYIB

6. Ivanov N.M., Nemcev A.E., Korotkih V.V. Tehnike APK - kachestvennyy servis // Dostizheniya nauki i tehniki APK. M., 2016. № 4. (30). S. 81-82. EDN: https://elibrary.ru/VZYEHX

7. Goncharov R.D. Perspektivy primeneniya IoT-tehnologiy v monitoringe sel'skohozyaystvennoy tehniki: razrabotka i aprobaciya platformy "Agrotrek" // Vestnik Omskogo GAU. 2025. № 3 (59). S. 92-101. EDN: https://elibrary.ru/CQJMVQ

8. Babchenko L.A. Formirovanie tehnicheskogo servisa sel'skohozyaystvennoy tehniki: dis. … d.-ra tehn. nauk. Almaty, 2010. 567 s.

9. Kumar S., Ambhaikar A. Smart Health Monitoring System of Agricultural Machines: Deep Learning-based Optimization with IoT and AI // BIO Web of Conferences. 2024. Vol. 82. Article No. 05007. 12 p. DOI:https://doi.org/10.1051/bioconf/20248205007 EDN: https://elibrary.ru/CDTWVB

10. Vodyannikov V.T., Eder A.V. Cifrovizaciya APK: ocenka i perspektivy vnedreniya v agrarnom sektore ekonomiki strany // Agroinzheneriya. 2024. № 2 (24). S. 49-56. DOI:https://doi.org/10.26897/2687-1149-2024-2-49-56 EDN: https://elibrary.ru/XYJJEO

11. Gureev I.I. Ekologo-ekonomicheskie pokazateli novyh mashin v komplekse perspektivnyh agrotehnologiy proizvodstva sel'skohozyaystvennyh kul'tur // Dostizheniya nauki i tehniki APK. M., 2014. № 10. S. 61-64. EDN: https://elibrary.ru/TDPJZN

12. Shimohin A.V. Sovershenstvovanie organizacii remontnoy sluzhby predpriyatiy mashinostroeniya // Vestnik Sibirskoy gosudarstvennoy avtomobil'no-dorozhnoy akademii. 2017. № 1(53). S. 190-197. EDN: https://elibrary.ru/VZSPNL