Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models

LI Wei1; XU Hong-fei1; NI Yuan2

doi:10.13873/j.1000-97872012.03.005

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Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models

更新时间：2025-09-11

- Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models
- Vol. 31, Issue 3, Pages: 143-146(2012)
- 作者机构：
  
  1. 兰州理工大学电气工程与信息工程学院
  2. 兰州石化公司自动化研究院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872012.03.005
  CLC： TQ333.1
- Published：2012
- 稿件说明：
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[1]李炜,徐鸿飞,倪源.基于核函数的PLS丁苯橡胶聚合转化率软测量[J].传感器与微系统,2012,31(03):143-146.

LI Wei1, XU Hong-fei1, NI Yuan2. Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models[J]. 2012, 31(3): 143-146.
[1]李炜,徐鸿飞,倪源.基于核函数的PLS丁苯橡胶聚合转化率软测量[J].传感器与微系统,2012,31(03):143-146. DOI： 10.13873/j.1000-97872012.03.005.

LI Wei1, XU Hong-fei1, NI Yuan2. Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models[J]. 2012, 31(3): 143-146. DOI： 10.13873/j.1000-97872012.03.005.

摘要

针对企业对丁苯橡胶聚合转化率需在线高精度预测的需求

考虑实际工况复杂性和偏最小二乘（PLS）算法非线性处理能力的不足

分别建立了引入单核和混合核函数的丁苯橡胶聚合转化率PLS预测模型。工业数据仿真结果表明:基于核的PLS模型均可满足企业生产对预测精度的要求

即聚合转化率预测绝对误差大于1.5的比例不大于样本总数的10%

尤其是混合核PLS因兼有局部和全局特性

表现出更优的性能。

Abstract

Aiming at the enterprise demand that polymerization conversion rate needs to be online high precision predicted for styrene butadiene rubber（SBR）

considering the complexity of actual working condition and the disadvantages of partial least squares（PLS）algorithm for its nonlinear processing power

PLS models with single or mixed kernel function are created separately and used to forecast the SBR polymerization conversion rate.The simulation results show that Kernel PLS models can all meet the enterprise requirements

which mean the ratio of polymerization conversion rate prediction absolute error greater than 1.5 is not more than 10 % of the total samples.Especially

the mixed Kernel PLS model shows more excellent properties because of its both local and global characteristics.

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references

基于集成修剪的丁苯橡胶聚合转化率软测量 [J]. 李炜,章寅,倪源. 仪器仪表学报 . 2011(01)

基于软测量技术的丁苯橡胶聚合率在线检测 [J]. 徐文艳. 化工自动化及仪表 . 2010(10)

丁苯橡胶门尼粘度软测量 [J]. 刘美,黄道平,李桢. 自动化仪表 . 2008(12)

基于PCA和LS-SVM的丁苯橡胶的门尼粘度预测 [J]. 刘美,黄道平,孙宗海. 计算机与应用化学 . 2008(11)

工业过程先进控制技术[M]. 华东理工大学出版社 , 俞金寿, 2008

A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction [J] . Kyungpil Kim,Jong-Min Lee,In-Beum Lee. Chemometrics and Intelligent Laboratory Systems . 2005 (1)

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