Application of Soft Sensor Based on LS-SVM on Estimation of Alumina Powder Flow

Author

Lu, Chunyan ; Li, Wei ; Liu, Weirong

Author_Institution

Sch. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China

Volume

1

fYear

2009

fDate

11-12 April 2009

Firstpage

281

Lastpage

284

Abstract

Alumina powder flow in electrolytic aluminum plant for the production of alumina can not be precise measured online, the Least Squares Support Vector Machines (LS -SVM) was applied in the modeling of alumina powder flow estimation in the process of alumina conveying in this paper, and the soft sensor model based on LS - SVM was compared with the soft sensor model based on RBF. The result of simulation research proves that the soft sensor model based on LS-SVM has a higher precision accuracy and better generalization ability. The soft sensor technique is effective in estimate accuracy of the alumina powder flow.

Keywords

alumina; aluminium manufacture; flow measurement; flow sensors; least squares approximations; mechanical engineering computing; powders; support vector machines; two-phase flow; alumina conveying; alumina powder flow estimation; alumina production; electrolytic aluminum plant; least squares support vector machines; soft sensor; Aluminum; Arithmetic; Electric variables measurement; Fluid flow measurement; Mechatronics; Network topology; Powders; Production; Support vector machines; Transportation; Least Square Support Vector Machine; RBF; alumina powder flow; soft sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-0-7695-3583-8

Type

conf

DOI

10.1109/ICMTMA.2009.236

Filename

5202966