Modeling dynamics of large belt conveyor system based on least square support vector machine

Author

Wei, Chen ; Xin, Li

Author_Institution

Sch. of Electr. Eng. & Autom., Hefei Univ. of Technol., Hefei, China

fYear

2012

fDate

25-27 July 2012

Firstpage

1707

Lastpage

1711

Abstract

Considering nonlinear, severe disturbance and time-varying characteristics of large belt conveyor system, the nonlinear mechanism model is analyzed in the paper. The sample data set is obtained from the experimental belt conveyor system by the finite elements method, and the predictive model of belt conveyor system based on the least square support vector machine is built up to improve the prediction accuracy and decrease the prediction time. Compared with the models based on nonlinear regression analysis method, the simulation results are shown that the model based on LS-SVM algorithm is superior to nonlinear regression analysis in data fitting.

Keywords

belts; conveyors; least squares approximations; nonlinear systems; regression analysis; support vector machines; time-varying systems; LS-SVM algorithm; data fitting; finite elements method; large belt conveyor system; least square support vector machine; modeling dynamics; nonlinear characteristics; nonlinear mechanism model; prediction accuracy; prediction time; predictive model; regression analysis method; sample data set; time-varying characteristics; Analytical models; Belts; Data models; Educational institutions; Electronic mail; Regression analysis; Support vector machines; belt conveyor system; kernel function; least square support vector machine; modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390200