| 正交信号修正法及其在软测量中的应用 |
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| 引用本文： | 李春富,王桂增,叶昊. 正交信号修正法及其在软测量中的应用[J]. 信息与控制, 2004, 33(4): 500-503,507 |
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| 作者姓名： | 李春富 王桂增 叶昊 |
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| 作者单位： | 清华大学自动化系,北京,100084 |
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| 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．
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| 关 键 词： | 正交信号修正 部分最小二乘 软测量 建模 |
| 文章编号： | 1002-0411(2004)04-0500-04 |
Orthogonal Signal Correction and Its Application to Soft Sensing |
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| LI Chun fu,WANG Gui zeng,YE Hao. Orthogonal Signal Correction and Its Application to Soft Sensing[J]. Information and Control, 2004, 33(4): 500-503,507 |
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| Authors: | LI Chun fu WANG Gui zeng YE Hao |
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| Abstract: | A preprocessing method for multivariate data in chemometrics, called orthogonal signal correction (OSC), 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. |
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| Keywords: | orthogonal signal correction (OSC) partial least squares (PLS) soft sensing modeling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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