Application of intelligent algorithm in the cement rotary kiln

Author

Wu, RiTu ; Zhang, YongQiang

Author_Institution

Sch. of Mech. Eng., Inner Mongolia Univ. of Technol., Hohhot, China

fYear

2011

fDate

15-17 April 2011

Firstpage

1190

Lastpage

1192

Abstract

Aiming at the characteristics of big inertia, pure lag, the nonlinear in the cement rotary kiln, A new model has been established using the least squares support vector machine intelligent algorithm. Also, the particle swarm optimization algorithm is introduced to carrying out the model analysis in the large amount of data that collected from the cement plant so as to determine optimal parameters of the kernel function. With data analyzed by Matlab, the results show that intelligent algorithm model can forecast accurately the cement rotary kiln temperature.

Keywords

cement industry; kilns; least squares approximations; particle swarm optimisation; production engineering computing; support vector machines; Matlab; cement plant; cement rotary kiln temperature; inertia; intelligent algorithm; kernel function; least square support vector machine intelligent algorithm; model analysis; particle swarm optimization algorithm; Data models; Kernel; Kilns; Mathematical model; Particle swarm optimization; Support vector machines; Temperature measurement; LS-SVM; PSO; cement rotary kiln;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5778202

Filename

5778202