丁苯橡胶门尼粘度软测量  

Soft-sensing for Mooney Viscosity of Styrene Butadiene Rubber

作　　者：刘美[1,2] 黄道平[1] 李桢 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510640 [2]茂名学院自动化系,广东茂名525000 [3]茂名石化公司,广东茂名525000

出　　处：《自动化仪表》2008年第12期33-34,37,共3页Process Automation Instrumentation

基　　金：广东省科技计划项目(编号:2004B10301035);茂名市科技计划项目(编号:201095)

摘　　要：研究了合成橡胶生产中门尼粘度软测量问题。首先结合工艺机理分析,找出了影响橡胶门尼粘度的主要参数,同时对各参数进行主元分析。然后确定辅助变量,最后建立了基于PCA-BP神经网络的门尼粘度软测量模型。仿真结果表明,门尼粘度预测值与生产实际化验分析结果较为吻合,可以用来指导生产。The topic of the Mooney viscosity measurement in synthetic rubber production is researched. Firstly, by combining the analysis on technological process mechanism, the main parameters affecting Mooney viscosity of the rubbers have been found, and the principal component analysis is conducted to these parameters ; then auxiliary variables are determined ; finally, the soft-sensing mode/of Mooney viscosity based on PCA-BP neural network is established. The result of simulation shows that the predicted value of the Mooney viscosity is well coincided with the actual value of production examination and analysis, and it can be used for conducting production.

关 键 词：丁苯橡胶 门尼粘度 软测量 神经网络 主元分析法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]