name
Fokin Vladimir Vasilievich
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Ryazan State Agrotechnological University named after P.A. Kostychev
аспирант
Research interests
Технологии и средства технического обслуживания машин для уборки и транспортировки зерновых культур
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TOP5 co-authors
Articles count: 1
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Description
Condition monitoring is a necessary element of the transport and special machinery in agriculture. The task of the control operations other than the determination of the technical state of the object is to determine the required amount of work, as well as rational amount of collateral the repair of which could be combined with the next maintenance. Based on the results of processing of the information, we may generate requests for service. In the conditions of uncertainty of receipt of requests for servicing of individual machines, estimated volumes and timing, we have am appropriate development of applied technique of justification of the number of diagnostic posts for interactive control of a technical condition of vehicles and special machinery in agriculture. The presented methodology is based on probabilistic methods, and allows the quick optimization of the number of existing posts interactive diagnostics in the enterprise, if necessary, translating the existing posts in "standby" mode, or Vice versa, returning from a reserve in "work" mode. The production and technical base of the enterprise service based on the specific assumptions are considered as a system of mass service (SMO), and the function of such a SMO – as the process of mass service. The process of queuing as applied to interactive diagnosis are "Markov" processes "death and reproduction" with a finite or countable number of States and continuous time. To describe the states of the system we use the system of the Kolmogorov equations for steady state of "Markov" process. On their basis, we have determined average queue length, time of stay orders in the queue, number of busy channels and the bandwidth of the CFR. Using the intensity of the requests and the service time of a single application for specific equipment, the article establishes the efficiency of online diagnosis posts. The result of the proposed applied methodology enables timely decision-making about the need for reconstruction or technical re-equipment of the company
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