DocumentCode :
2939483
Title :
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
Link To Document :
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