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

被引：2
|
作者：
Lu, Chunyan [1 ]
Li, Wei [1 ]
Liu, Weirong [1 ]
机构：
[1] Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I | 2009年
关键词：
Least Square Support Vector Machine; alumina powder flow; soft sensor; RBF;
D O I：
10.1109/ICMTMA.2009.236
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Alumina powder flow in electrolytic aluminum plant for the production of alumina can not be precise measured on-line, 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.
引用
收藏
页码：281 / 284
页数：4
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