Multiple linear regression model-based belt weigher main error factor analysis method

Abstract

The invention discloses a multiple linear regression model-based belt weigher main error factor analysis method. The method includes the following steps that: a belt weigher experiment platform is set up, main error factors such as tensions, temperatures and equivalent flow rates are changed according to actual situations, the tensions, temperatures, equivalent flow rates, calibration values and hopper weighers of various test points are recorded, and the relative errors of the calibration values and hopper weighers are calculated; the correlation coefficients of the main error factors of a belt weigher are calculated, and the correlation of the main error factors is judged; the relations of the factors are determined according to the correlation, and a multiple linear model is set and solved; residual sum of squares, determination coefficients and MS variance of residuals are adopted as check indexes, and the regression effect of the established model is evaluated; and the test values of the test points are predicted through using a fitting model, and the test values are compared with practical values, so that prediction errors can be calculated, and the accuracy of a fitting result is determined. With the method of the invention adopted, a theoretical basis is provided for quantitative analysis on the degree of influence of the main error factors on the accuracy of the belt weigher.

Description

technical field [0001] The invention belongs to the technical field of detection, control, diagnosis and maintenance of manufacturing equipment, and in particular relates to a method for analyzing main error factors of a belt scale based on a multiple linear regression model. Background technique [0002] The electronic belt scale, which plays an important role in dynamic weighing, can automatically and continuously accumulate bulk materials. Because of these unique features, it is widely used in industrial production and port trade. The manufacture and production of domestic electronic belt scales has entered a new development period since the 1970s. Many domestic manufacturers have developed full-suspension belt scales through learning and communication, making the measurement accuracy of belt scales reach 0.25%. [0003] For electronic belt scales, the measurement error caused by the "belt effect" is an important aspect that affects the measurement accuracy. The "belt ef...

AI Technical Summary

Problems solved by technology

There are no rigorous derivation formulas for parameters such as temperature, tension, and equivalent flow, but they all have a certain impact on accuracy

Images