Step mean value staged MPLS based predictive model for shell quality

被引：0

作者：

Xiao, Dong ^{[1
,2
]}

Pan, Xiao-Li ^{[1
,2
,3
]}

Mao, Zhi-Zhong ^{[1
,2
]}

Wang, Fu-Li ^{[1
,2
]}

机构：

[1] College of Information Science and Engineering, Northeastern University, Shenyang 110004, China

[2] Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China

[3] Steel Tube Filiale, BaoSteel Corporation, Shanghai 201900, China

来源：

Kongzhi yu Juece/Control and Decision | 2008年 / 23卷 / 04期

关键词：

Mandrel mill made shell - Quality prediction - Seamless tubes - Step mean value;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The shell is produced by the semi-floating mandrel mill, whose shell longitudinal and transversal wall thickness unevenness is often checked laggingly. The quality prediction of the shell model based on step mean value staged MPLS (multiway partial least square) method is proposed to overcome the disadvantage. The staged decomposition of the productive data, calculation of the mean value in the mean value MPLS method, modeling, and on-lined prediction are introduced. The model used in the shell quality prediction can improve seamless tubes quality of mandrel mill made effectively. Its obvious benefits are good real time function, high reliability precision, and can be used on-line for the prediction and optimization on the quality of the shell.

引用

页码：431 / 434