| 连续催化重整反应器结焦含量软测量 |
| |
| 引用本文： | 孙自强,顾幸生,等.连续催化重整反应器结焦含量软测量[J].医学教育探索,2001(5):368-371. |
| |
| 作者姓名： | 孙自强 顾幸生 |
| |
| 作者单位： | 孙自强（华东理工大学自动化研究所,上海
200237）;顾幸生（华东理工大学自动化研究所,上海 200237）;俞金寿（华东理工大学自动化研究所,上海 200237）;党晓恒（华东理工大学自动化研究所,上海 200237） |
| |
| 基金项目： | 教育部高等学校骨干教师资助计划项目;上海市曙光计划资助项目 |
| |
| 摘 要： | 对连续催化重整反应器结焦含量软测量问题进行了研究。首先从工艺机理分析出发，找出了影响结焦含量的主要参数，初步确定软测量建模辅助变量，并采用BP算法进行神经网络，建立结焦含量软测量模型。然后采用PLS－BP算法重新认识，得到新的结焦含量软测量模型，以改进模型结构。最后对模型校正后在现场使用，结果表明测量结果令人满意。
|
| 关 键 词： | 软测量 神经网络 连续催化重整反应器 结焦含量 PLS－BP算法 石油化工 催化剂 |
Coking Models of Reactor in Continuous Catalytic Reforming |
| |
| SUN Zi qiang,GU Xing sheng,YU Jin shou,DANG Xiao heng.Coking Models of Reactor in Continuous Catalytic Reforming[J].Researches in Medical Education,2001(5):368-371. |
| |
| Authors: | SUN Zi qiang GU Xing sheng YU Jin shou DANG Xiao heng |
| |
| Abstract: | In this paper soft sensing on coking models of reactor in the process of continuous catalytic reforming is studied. At first according to the analysis of technics principles several major parameters affecting coking are found out and used as assitant variables. BP algorithm is used for training neural networks to establish coking model. In order to modify the model structure PLS BP algorithm is also used for training neural networks again to establish another coking model. At last the second model is applied in practive after revised. The result of measurement is satisfactory. |
| |
| Keywords: | coking soft sensing neural networks modeling |
|
| 点击此处可从《医学教育探索》浏览原始摘要信息 |
| 点击此处可从《医学教育探索》下载免费的PDF全文 |
