正交信号修正法及其在软测量中的应用

被引：9

作者：

李春富

王桂增

叶昊

机构：

[1] 清华大学自动化系

来源：

关键词：

正交信号修正; 部分最小二乘; 软测量; 建模;

D O I：

10.13976/j.cnki.xk.2004.04.025

中图分类号：

TP274 [数据处理、数据处理系统];

学科分类号：

0804 ; 080401 ; 080402 ; 081002 ; 0835 ;

摘要：

介绍化学计量学领域中出现的一种新的多变量数据预处理方法———正交信号修正 (OSC)法提出一种改进的OSC方法 ,并将该方法结合部分最小二乘 (PLS)方法用于聚丙烯熔融指数软测量建模最后得到的模型预测性能不变 ,但特征变量数目大大减少 ,而且模型的回归系数具有明显的物理意义

引用

页码：500 / 503+507 +507

页数：5

共 9 条

[1] Partial least-squares regression: a tutorial. Geladi P,Kowalski B R. Analytica Chimica Acta . 1986
[2] On orthogonal signal correction. Fearn T. Chemometrics and Intelligent Laboratory Systems . 2000
[3] An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra[J \]. Sjoblom J,Svensson O,Josefson M,et al. Chemometrics and Intelligent Laboratory Systems . 1998
[4] Direct orthogonal signal correction. Westerhuis J A,De Jong S,Smilde A K. Chemometrics and Intelligent Laboratory Systems . 2001
[5] Process monitoring and diagnosis by multiblock PLS methods. MacGregor J F,Jaeckle C,Kiparissides C. American Institute of Chemical Engineers Journal . 1994
[6] Estimation of distillation composition from multiple temperature measurements using partial least squares regression. Mejdell T,Skogestad S. Industrial and Engineering Chemistry . 1991
[7] A direct orthogonalization. Andersson C. Chemometrics and Intelligent Laboratory Systems . 1999
[8] Orthogonal signal correction of near-infrared spectra. Wold S,Antti H,Lindgren F,et al. Chemometrics and Intelligent Laboratory Systems . 1998
[9] Orthogonal projection to latent structures (O-PLS)[J \]. Trygg J,Wold S. Journal of Chemometrics . 2002