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Technological Machines Diagnostics of Grain Processing Enterprises as the Object of Automation

Palvan Kalandarov«Tashkent institute of irrigation and agricultural mechanization engineers» National Research University,Department “Automation and control of technology process in production”,Tashkent,UzbekistanShakhnoza Ubaydullayeva«Tashkent institute of irrigation and agricultural mechanization engineers» National Research University,Department “Automation and control of technology process in production”,Tashkent,UzbekistanNikola NikolovTechnical University of Varna,Faculty of Computer Science and Automation,Department of Automation,Varna,BulgariaAziz HayitovBukhara Institute of Natural Resource, Management of the National Research University «Tashkent Institute of Irrigation and Agricultural Mechanization institute»,Tashkent,UzbekistanHusen SharifovBukhara Institute of Natural Resource, Management of the National Research University «Tashkent Institute of Irrigation and Agricultural Mechanization institute»,Tashkent,Uzbekistan
2023en
ABI

Abstract

The article gives the basic concepts of reliability, performance, durability, considers the issues of changing the technical state of the machine during operation. The models under consideration have the ability to introduce various perturbations in order to simulate physical defects, and numerical simulation on a computer made it possible to obtain solutions in the form of temporary realizations of oscillations for different states of the simulation object. The cooperative use of the full-scale method and mathematical modeling made it possible to reduce the volume of full-scale experiments and apply statistical methods of analysis in the problem of classifying the technical condition by constructing mathematical models of the probability of failure and uptime during their operating time. The content of the main types of machine states is revealed, considerable attention is paid to the issues of identifying and influencing failures and the causes of failures in the machine, the reasons for the loss of performance during operation.

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