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Written Paper

METHODS OF CHOOSING DIAGNOSED VEHICLE PARAMETERS IN AGRICULTURE  [2016]

Kokorev G. D. Ryazan State Agrotechnological University named after P.A. Kostychev [Corporate Author]

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The article presents an analysis of the existing approach to automobiles technical maintenance in agriculture. We have pointed out that in modern conditions it is impossible to forecast the automobiles maintenance operation frequency and as a result its improvement as well. It is obvious that one cannot achieve the considerable increase of maintenance operation efficiency by separate means and there exist the necessity to treat it as a system and use the up-to-date methods to investigate and improve complicated systems. We have made a conclusion that the increase of maintenance operation efficiency is not possible without some rational strategy of maintenance operation and repair. We have shown that the program of maintenance operation and repair being an integral part of automobiles technical maintenance has considerable effect on maintenance and repair quality. As a result, there is some necessity of the developed system of parameters diagnosing and control in technical maintenance and repair. We have shown that to get sufficient diagnose information one needs selection of the controlled parameters which give maximum information about the object technical status taking into account possible characteristics of its operational faults. We have discovered that in order to solve the task it is necessary to have the object’s information pattern, calculation of possible characteristics of the controlled object being in good or bad order due to some parts fault,
evaluation of information brought by every parameter and determining parameters to be diagnosed. We have proposed to evaluate the parameters’ information value with the help of information entropy as uncertainty measure that is one of the main concepts of the information theory. Because of solving the task, we have got the aggregate of the controlled automobile parameters orderable according to the amount of information

From the journal

Polythematic Online Scientific Journal of Kuban State Agrarian University

ISSN : 1990-4665