Title

正交信号修正法及其在软测量中的应用

Translated Titles

Orthogonal Signal Correction and Its Application to Soft Sensing

Authors

李春富(Chun-Fu Li);王桂增(Gui-Zeng Wang);叶昊(Hao Ye)

Key Words

正交信号修正 ; 部分最小二乘 ; 软测量 ; 建模 ; orthogonal signal correction OSC ; partial least squares PLS ; soft sensing ; modeling

PublicationName

信息與控制

Volume or Term/Year and Month of Publication

33卷4期(2004 / 08 / 01)

Page #

500 - 503

Content Language

簡體中文

Chinese Abstract

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。

English Abstract

A preprocessing method for multivariate data in chemometrics, called orthogonal signal correction (USC), is introduced. An improved OSC method is proposed and an application of this method combined with partial least squares (PLS) method to soft sensing of polypropylene melt flow rate (MFR) is demonstrated. It results in much reduction of model complexity with the same prediction ability. Besides, the regression coefficients of the model have clearer physical meaning.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 土木與建築工程
工程學 > 電機工程