The role of diagnostics in improving the objectivity of assessing the technical condition of agricultural machinery
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.
EDN: JEPFMU
Downloads
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.
Список литературы
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
Теплякова, С. В. (2021). Обоснование концепции создания практически безотказных машин. Известия высших учебных заведений. Северо Кавказский регион. Технические науки, 2(210), 41–45. https://doi.org/10.17213/1560-3644-2021-2-41-45. EDN: https://elibrary.ru/VWMXDR
Дерюшев, В. В., Теплякова, С. В., & Зайцева, М. М. (2023). Оценка безопасности производственных объектов по предельным значениям безотказности машин. Безопасность техногенных и природных систем, 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
Лепихин, А. М., Москвичев, В. В., & Доронин, С. В. (2009). Надежность, живучесть и безопасность сложных технических систем. Вычислительные технологии, 14(6), 58–70. EDN: https://elibrary.ru/LACTJN
Марченко, Ю. В., Дерюшев, В. В., Попов, С. И., & Марченко, Э. В. (2023). Модель многопараметрической оптимизации характеристик канатной дороги в системе транспортировки твердых бытовых отходов. Безопасность техногенных и природных систем, 7(4), 80–96. https://doi.org/10.23947/2541-9129-2023-7-4-80-96. EDN: https://elibrary.ru/QJVVZV
Соснин, Ф. Р. (Ред. В. В. Клюев). (2006). Неразрушающий контроль: Справочник: В 8 т. Т. 1: В 2 кн. Кн. 1: Визуальный и измерительный контроль. Кн. 2: Радиационный контроль (2 е изд., испр.). Москва: Машиностроение, 560 с.
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
Махутов, Н. А., Албагачиев, А. Ю., Алексеева, С. И., и др. (2008). Прочность, ресурс, живучесть и безопасность машин. Москва: Книжный дом «ЛИБРОКОМ», 574 с. ISBN: 978 5 397 00222 6. EDN: https://elibrary.ru/QNCCDN
Труханов, В. М. (2015). Расчет проектной надежности технических систем по постепенным отказам. Контроль. Диагностика, 1, 70–72. https://doi.org/10.14489/td.2015.01.pp.070-072. EDN: https://elibrary.ru/TAGPSV
Биргер, И. А. (2018). Техническая диагностика (2 е изд.). Москва: URSS: ЛЕНАНД, 238 с. (Классика инженерной мысли: машиностроение). ISBN: 978 5 9710 6012 3
Дулесов, А. С., Федоренко, Н. С., & Байшев, А. В. (2021). Оценка возможностей измерения количества энтропии в анализе надежности технических систем. Вестник Хакасского государственного университета им. Н. Ф. Катанова, 1(35), 43–48. EDN: https://elibrary.ru/NQYCPQ
Клюев, В. В., Лозовский, В. Н., & Савилов, В. П. (Под общ. ред. В. В. Клюева). (2017). Диагностика деталей машин и механизмов: в 2 ч. Ч. 1. Москва: Спектр, 176 с.
Copyright (c) 2025 Sergei I. Popov, Nikolay S. Dontsov, Dmitry V. Rudoy, Anastasiya V. Olshevskaya, Svetlana V. Teplyakova, Alexey S. Prutskov, Julianna V. Marchenko

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.





















































