The role of diagnostics in improving the objectivity of assessing the technical condition of agricultural machinery

Keywords: technical diagnostics, technical condition assessment, reliability, safety, machine

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

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Author Biographies

Sergei I. Popov, Don State Technical University

Candidate of Technical Sciences, Associate Professor of the Department “Robotics and Mechatronics”

Nikolay S. Dontsov, Don State Technical University

Candidate of Technical Sciences, Associate Professor of the Department “Operation of Transport Systems and Logistics”

Dmitry V. Rudoy, Don State Technical University

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”

Anastasiya V. Olshevskaya, Don State Technical University

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

Svetlana V. Teplyakova, Don State Technical University

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”

Alexey S. Prutskov, Don State Technical University

Postgraduate Student

Julianna V. Marchenko, Don State Technical University

Candidate of Technical Sciences, Associate Professor of the Department “Robotics and Mechatronics”

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Published
2025-12-30
How to Cite
Popov, S., Dontsov, N., Rudoy, D., Olshevskaya, A., Teplyakova, S., Prutskov, A., & Marchenko, J. (2025). The role of diagnostics in improving the objectivity of assessing the technical condition of agricultural machinery. Siberian Journal of Life Sciences and Agriculture, 17(6-2), 730-745. https://doi.org/10.12731/2658-6649-2025-17-6-2-1576
Section
Articles