首页 | 本学科首页   官方微博 | 高级检索  
     

基于核函数的PLS丁苯橡胶聚合转化率软测量
引用本文: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(3):143-146.
作者姓名:李炜  徐鸿飞  倪源
作者单位:1. 兰州理工大学电气工程与信息工程学院,甘肃兰州,730050
2. 兰州石化公司自动化研究院,甘肃兰州,730060
基金项目:国家自然科学基金资助项目(60964003)
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。

关 键 词:偏最小二乘  核偏最小二乘  丁苯橡胶  聚合转化率

Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models
LI Wei , XU Hong-fei , NI Yuan.Soft-measurement for polymerization conversion rate of SBR based on kernel function PLS models[J].Transducer and Microsystem Technology,2012,31(3):143-146.
Authors:LI Wei  XU Hong-fei  NI Yuan
Affiliation:1.School of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China; 2.Automation Institute of Lanzhou Petrochemical Company,Lanzhou 730060,China)
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.
Keywords:partial least squares(PLS)  kernel PLS  styrene butadiene rubber(SBR)  polymerization conversion rate
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号