Robust Kernel PLS Based Soft Sensing for Component Concentrations in Sodium Aluminate Solution

摘要：

The component concentrations in sodium aluminate solution are very important in the process of alumina production, they represents the product quality. At present they can not be measured online, so the optimal operation is hardly to be achieved. To deal with this problem and based on the character of process industry data, we propose a RKPLS (Robust Kernel Partial Least Squares) soft sensing method by combining robust algorithm and kernel transformation to predict the component concentrations in sodium aluminate solution. Industry experiments are conducted in the alumina production process and the results show the effectiveness of this method.

关键词： sodium aluminate solution soft-sensing robust PLS kernel PLS

作者: Wei Wang Lijie Zhao Tianyou Chai

作者单位: Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern Uni Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern Uni

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 254-258

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）