Development of a model of a generalized diagnostic indicator of the technical condition of the vehicle chassis using mathematical methods of the theory of experiment planning
Abstract
The purpose of the work is to develop a regression model of a generalized diagnostic indicator of the technical condition of the car chassis to speed up the process of making a diagnosis about the technical condition of its components.
To solve the tasks, the methods of planning the experiment were used in the optimization of multifactorial processes, methods of mathematical modeling and methods of statistical analysis.
As a result of conducting a full factorial experiment, the regression equation of the generalized diagnostic indicator of the technical condition of the car chassis was obtained. According to the regression equation, the nature of the influence of diagnostic parameters of the running gear on its general technical condition is determined. Based on the analysis of the values of the coefficients of the regression equation, a list of factors that have the greatest influence on the technical condition of the car chassis was obtained. A polynomial mathematical model of the generalized diagnostic indicator of the technical condition of the car chassis was obtained, which can be used in the tasks of forecasting the technical condition.
The theoretical approach to the assessment of the technical condition of car components has been improved by using mathematical models of generalized diagnostic indicators of the technical condition of the main units of the car using methods of the theory of planning experiments.
Polynomial models of the generalized diagnostic indicator of the technical condition of car components can be used to create new and improve existing automated systems for monitoring and forecasting the technical condition of car components. This will allow optimizing and speeding up the process of processing information received during repairs and technical inspections of cars, reduce the time for diagnosis, and also increase the accuracy of its diagnosis. In addition, this will allow reducing the material and financial costs for carrying out technical inspections and repair works of car units.
Keywords: vehicle chassis, mathematical model, full-factor experiment, repair, diagnostics