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

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.

关键词： Least Square Support Vector Machine alumina powder flow soft sensor RBF

作者: Chunyan Lu Wei Li Weirong Liu

作者单位: School of Electrical and Information Engineering Lanzhou University of Technology Lanzhou,Gansu province,China 730050

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 281-284

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）