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
Web site url
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Articles count: 1
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