A random process test prediction method for vehicle transmission wear based on wear mechanism

Abstract

The invention relates to a wear mechanism-based test prediction method for a wear random process of a vehicle transmission. The invention includes: determining the shifting force, rotating speed and hardness of the three wear-influencing factors; processing the test data, that is, the amount of material wear per unit time; calculating the correlation coefficient between each variable group, and verifying the multiple correlations between the variables; Standardized reverse process reduction model to obtain the regression coefficient value of the original variable; determine the specific division of the three stages of wear, namely the running-in period, stable period, and severe period; use the data of the running-in period and stable period in the full life test data for statistics Analyzing and collecting wear data; calculating the specific parameter value offset coefficient and process intensity σ; using the wear amount W(t) at different times in the random wear test data for variance estimation; the present invention uses an orthogonal test design method to reduce workload , and fully consider the interaction between multi-factors and multi-levels, so as to truly achieve the purpose of high efficiency, speed and economy.

Description

technical field [0001] The invention relates to a wear mechanism-based test prediction method for a wear random process of a vehicle transmission. Background technique [0002] In engineering applications, the factors that affect the wear of vehicle transmissions are random and time-related, so it is necessary to accurately reflect the regularity and dynamics of vehicle transmission wear through random processes to achieve the purpose of test prediction . [0003] The present invention is based on wear mechanism, through partial least squares regression method (Partial Least-Squares, PLS), utilizes the wear and tear orthogonal test data of vehicle transmission device slide block to establish the prediction model of slide block wear rate, on this basis, through The whole life test determines the distribution type of the wear stochastic process variables, establishes the basic model of the wear stochastic process of the vehicle transmission, and clarifies the determination me...

AI Technical Summary

Problems solved by technology

In traditional multiple regression analysis, the multiple correlations of variables will seriously damage the parameter estimation, increase the error of the model, and reduce the stability, especially in the mechanical wear system of the transmission device, where the working conditions and environment are complex and have an impact on component wear There are many factors, and there are serious multiple correlations among the factor variables

[0010] The determination of the wear process lacks theoretical support, especially in the establishment of related stochastic process models, and there are very few related studies, and there is no relevant research and analysis on the wear problem of the slider of the vehicle transmission. The method does not fully consider the interaction between multiple factors and multiple levels, which is not enough to support the establishment of the model, and does not have engineering application value

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