Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Shevtsov Yuri Dmitrievich

Scholastic degree


Academic rank

professor

Honorary rank

—

Organization, job position

Kuban State Technological University
   

Web site url

—

Email

shud48@rambler.ru


Articles count: 4

265 kb

FORECASTING THE PARAMETERS OF THE TECHNICAL CONDITION OF POWER PLANT ENGINES

abstract 1321708042 issue 132 pp. 508 – 517 31.10.2017 ru 594
In this article, an algorithm and a forecasting model for a set of informative parameters are proposed. These parameters describe the technical condition of power plant engines with a possibility of estimating the forecast error
267 kb

MAINTENANCE OF PERIODICITY DEFINITION OF INTERNAL COMBUSTION ENGINE DEPENDING ON THE FREQUENCY MODEL PARAMETERS OF THE FILTER

abstract 0941310047 issue 94 pp. 704 – 717 27.12.2013 ru 1489
In this article we study connection between frequency characteristics of oil filter and lubricant system condition of internal combustion engine. Method is suggested, it allows to trace changes of technical condition of oil filter, engine oil, engine and to estimate a residual resource of working capacity up to maintenance
573 kb

MAINTENANCE PERIODICITY DEFINITION OF INTERNAL COMBUSTION ENGINE DEPENDING ON THE MAXIMUM PRODUCTIVITY OF THE FILTER

abstract 0921308023 issue 92 pp. 358 – 370 31.10.2013 ru 1481
In this article we study the connection between pollution extent of oil filter, hydraulic resistance and medium value of filter capacity for a certain period. We established following: if the maximum productivity of the filter is decreased, that maintenance of internal combustion engine is necessary. This value is connected with maintenance periodicity
464 kb

RESEARCH, EVALUATION AND SELECTION TECHNICAL CONDITION PARAMETERS OF THE ENGINE AT THEIR CONTROL AND FORECASTING

abstract 1041410078 issue 104 pp. 1037 – 1056 30.12.2014 ru 788
The article proposes a method of research, evaluation and selection of priority parameters for monitoring and prediction of a technical condition of engines using the method of factor analysis
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