System of improved methods for predicting the technical condition of vehicles

The results of the performed research on the improvement of the system of forecasting parameters of the technical condition of the units and assemblies of agricultural vehicles on the example of trucks, implemented in the spreadsheet environment of the office program package of the personal computer are presented. LibreOffice Calc or MS Excel applications among other can be used as the office package programs. The purpose of this research is to develop a system of software-algorithmic and information tools of predicting the parameters of the technical condition of units and assemblies of trucks by improving the methods of prediction. These methods in aggregate are able to clarify the statistical evaluation of the predicted parameters and will enable the specialist to make informed decisions on further operation of the truck. The system of software -algorithmic and information tools can be used on tablets and mobile smartphones to increase the efficiency of work. The improvement of forecasting methods in the information model of the system of software-algorithmic and information tools of forecasting is substantiated. The established algorithm of the information model has a clear and accessible interface for the user with access to the root directory of folders with systematized files having extensions .doc and .xlsx. Predictive calculations are performed after entering the diagnostic results of the vehicle in question and after processing by the system, the predicted and maximum parameters of the critical state of the vehicle's units and assemblies are indicated in the information provided. This ensures timely and quality performance of technical diagnostics in the prescribed order and volume, reduces the probability of vehicle failures on the line, and increases the efficiency of the farming company's fleet.

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