The role of diagnostics in improving the objectivity of assessing the technical condition of agricultural machinery
- Authors: Popov S.I.1, Dontsov N.S.1, Rudoy D.V.1, Olshevskaya A.V.1, Teplyakova S.V.1, Prutskov A.S.1, Marchenko J.V.1
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Affiliations:
- Don State Technical University
- Issue: Vol 17, No 6-2 (2025)
- Pages: 730-745
- Section: Статьи
- Published: 30.12.2025
- URL: https://ogarev-online.ru/2658-6649/article/view/371804
- DOI: https://doi.org/10.12731/2658-6649-2025-17-6-2-1576
- EDN: https://elibrary.ru/JEPFMU
- ID: 371804
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Abstract
Background. During operation, the condition of the machine is subject to constant changes, occurring unpredictably and depending on a multitude of operating factors that affect the wear and tear of individual machine components to varying degrees, requiring different amounts of repair and maintenance for each piece of equipment. Preliminary diagnosis of the entire system or its individual parts helps to accurately determine the amount of maintenance or repair required. This study analyzes methods for improving the accuracy and reliability of machine technical condition assessment. Also considered are the key factors of technical diagnostics that provide assessment of the current parameters of the object and prediction of the state on the basis of data obtained through direct or indirect measurements. The authors propose a method of evaluating the efficiency of diagnostic procedures taking into account various combinations of influencing factors. The influence of the marginal cost of diagnostics on the total specific repair costs is shown.
Purpose. The purpose of the research is to study the role of diagnostics in the issues of improving the objectivity of the assessment of the technical condition of machines
Materials and methods. Availability of information on specific values of controlled parameters allows to control the threat of disturbance of normal operation of machines. Assessment of the state of machinery is carried out by comparing the actual values of parameters with the specified norms. Detailed control requires methods of monitoring the monitored parameters, including the collection of additional data on how these parameters change over time. Modern technical devices are equipped with a continuous condition monitoring function, which makes it possible to continuously monitor the operation of machines and equipment. Early fault detection includes a set of measures to identify emerging defects, determine their root causes, and carefully analyze the nature and degree of development of these problems. Technical diagnostics consists in assessment and forecasting of the object state based on the results of direct or indirect measurements of state parameters or diagnostic parameters.
Results. The results of this study show that diagnostics allows management at two levels: technical state and technological process. At the first level, diagnostics is directly related to maintenance (TO), while at the second level it is more related to the organization of technological processes.
Conclusion. Application of modern methods, tools and approaches to diagnostics in the system of maintenance and repair will increase its efficiency due to more complete utilization of operational characteristics of each individual object.
About the authors
Sergei I. Popov
Don State Technical University
Author for correspondence.
Email: spopov1957@yandex.ru
ORCID iD: 0000-0002-8538-9478
Scopus Author ID: 57194601396
ResearcherId: AAF-7110-2019
Candidate of Technical Sciences, Associate Professor of the Department “Robotics and Mechatronics”
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
Nikolay S. Dontsov
Don State Technical University
Email: nsdontsov@gmail.com
ORCID iD: 0000-0002-5208-837X
Scopus Author ID: 57194597863
ResearcherId: AAF-8405-2019
Candidate of Technical Sciences, Associate Professor of the Department “Operation of Transport Systems and Logistics”
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
Dmitry V. Rudoy
Don State Technical University
Email: dmitriyrudoi@gmail.com
ORCID iD: 0000-0002-1916-8570
Scopus Author ID: 57212389828
Doctor of Engineering Sciences, Head of the Specialized organization of the territorial cluster “Dolina Dona” of the Rostov region, Dean of the Faculty “Agribusiness”, Chief Researcher of the Research laboratory “Agrobiotechnology Center”, Associate Professor of the Department “Technologies and Equipment for Processing Agricultural Products”
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
Anastasiya V. Olshevskaya
Don State Technical University
Email: olshevskaya.av@gs.donstu.ru
ORCID iD: 0000-0001-8318-3938
Scopus Author ID: 57204675629
Candidate of Technical Sciences, Deputy Head of the Development center of the territorial cluster “Dolina Dona”, Deputy Dean for Strategic and Digital Development of the Faculty “Agribusiness”, Associate Professor of the Department “Technologies and Equipment for Processing Agricultural Products” of the Don State Technical University
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
Svetlana V. Teplyakova
Don State Technical University
Email: teplyakova.sv@gs.donstu.ru
ORCID iD: 0000-0003-4245-1523
Scopus Author ID: 57214222442
Candidate of Technical Sciences, Associate Professor of the Department “Technologies and Equipment for Processing Agricultural Products”, Senior Researcher of the Development center of the territorial cluster “Dolina Dona”
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
Alexey S. Prutskov
Don State Technical University
Email: prutskovaleksey@yandex.ru
ORCID iD: 0009-0001-8999-2960
Scopus Author ID: 57218097687
Postgraduate Student
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
Julianna V. Marchenko
Don State Technical University
Email: marchenko-6470@male.ru
ORCID iD: 0000-0001-7600-492X
Scopus Author ID: 57214127260
Candidate of Technical Sciences, Associate Professor of the Department “Robotics and Mechatronics”
Russian Federation, 1, Gagarin Sq., 1, Rostov-on-Don, 344000, Russian Federation
References
- Ferrian, F., Cornetti, P., Marsavina, L., & Sapora, A. (2022). Finite fracture mechanics and cohesive crack model: Size effects through a unified formulation. Frattura ed Integrita Strutturale, 16(61), 496–509. https://doi.org/10.3221/igf-esis.61.33. EDN: https://elibrary.ru/UFPKXJ
- Marchenko, Ju. V., Korotky, A. A., Popov, S. I., Marchenko, E. V., Galchenko, G. A., & Kosenko, V. V. (2022). Municipal waste management in an urbanized environment based on ropeway technology. In Proceedings of the INTERAGROMASH 2021 (Lecture Notes in Networks and Systems, Vol. 246, pp. 235–241). https://doi.org/10.1007/978-3-030-81619-3_26. EDN: https://elibrary.ru/TULQCT
- Teplyakova, S. V. (2021). Justification of the concept for creating virtually failure-free machines. Proceedings of Higher Educational Institutions. North Caucasus Region. Technical Sciences, 2(210), 41–45. https://doi.org/10.17213/1560-3644-2021-2-41-45. EDN: https://elibrary.ru/VWMXDR
- Deryushev, V. V., Teplyakova, S. V., & Zaitseva, M. M. (2023). Assessment of industrial facility safety based on limit values of machine reliability. Safety of Technogenic and Natural Systems, 7(2), 58–69. https://doi.org/10.23947/2541-9129-2023-7-2-58-69. EDN: https://elibrary.ru/PUATWR
- Popov, S. I., Marchenko, Ju. V., Kosenko, E. E., Dontsov, N. S., Khvan, R. V., & Demchenko, D. B. (2023). Estimation of the residual life of cars. In XV International Scientific Conference “INTERAGROMASH 2022” (Lecture Notes in Networks and Systems, Vol. 575, pp. 1276–1283). Springer, Cham. https://doi.org/10.1007/978-3-031-21219-2_143
- Pakhomov, V. I., Braginets, S. V., Rudoy, D. V., et al. (2024). Experimental results of the ear pneumatic threshing. In Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE 2022): Agricultural Cyber Physical Systems (Vol. 1, pp. 1043–1053). Tashkent: Springer Cham. https://doi.org/10.1007/978-3-031-37978-9_100. EDN: https://elibrary.ru/CMRBMI
- Lepikhin, A. M., Moskvichev, V. V., Doronin, S. V., & Makhutov, N. A. (2000). Probabilistic modeling of safe crack growth and estimation of the durability of structures. Fatigue & Fracture of Engineering Materials & Structures, 23(5), 395–401. https://doi.org/10.1046/j.1460-2695.2000.00303.x. EDN: https://elibrary.ru/RQERUF
- Lepikhin, A. M., Moskvichev, V. V., & Doronin, S. V. (2009). Reliability, survivability, and safety of complex technical systems. Computational Technologies, 14(6), 58–70. EDN: https://elibrary.ru/LACTJN
- Marchenko, Yu. V., Deryushev, V. V., Popov, S. I., & Marchenko, E. V. (2023). Model of multiparametric optimization of ropeway characteristics in a solid household waste transportation system. Safety of Technogenic and Natural Systems, 7(4), 80–96. https://doi.org/10.23947/2541-9129-2023-7-4-80-96. EDN: https://elibrary.ru/QJVVZV
- Sosnin, F. R. (Ed. V. V. Klyuev). (2006). Non-destructive testing: Handbook (Vols. 1–8). Vol. 1: In 2 books. Book 1: Visual and measurement testing. Book 2: Radiation testing (2nd ed., rev.). Moscow: Mashinostroenie. 560 pp.
- Marchenko, Ju. V., & Popov, S. I. (2023). The use of a unified container in an ecological automated system for the removal of solid household waste in an urbanized environment based on rope transport technologies. In Proceedings of the INTERAGROMASH 2022 (Lecture Notes in Networks and Systems, Vol. 575, pp. 1304–1311). https://doi.org/10.1007/978-3-031-21219-2_146. EDN: https://elibrary.ru/VKNZBK
- Makhutov, N. A., Albagachiev, A. Yu., Alekseeva, S. I., et al. (2008). Strength, resource, survivability, and safety of machines. Moscow: Knizhnyy dom “LIBROKOM”. 574 pp. ISBN: 978-5-397-00222-6. EDN: https://elibrary.ru/QNCCDN
- Trukhanov, V. M. (2015). Calculation of design reliability of technical systems based on gradual failures. Control. Diagnostics, (1), 70–72. https://doi.org/10.14489/td.2015.01.pp.070-072. EDN: https://elibrary.ru/TAGPSV
- Birger, I. A. (2018). Technical diagnostics (2nd ed.). Moscow: URSS: LENAND. 238 pp. (Classic of Engineering Thought: Mechanical Engineering). ISBN: 978-5-9710-6012-3
- Dulesov, A. S., Fedorenko, N. S., & Baishev, A. V. (2021). Assessment of entropy measurement capabilities in reliability analysis of technical systems. Bulletin of the Khakass State University named after N. F. Katanov, 1(35), 43–48. EDN: https://elibrary.ru/NQYCPQ
- Klyuev, V. V., Lozovsky, V. N., & Savilov, V. P. (Gen. Ed. V. V. Klyuev). (2017). Diagnostics of machine and mechanism parts: In 2 parts. Part 1. Moscow: Spektr. 176 pp.
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