摘要
对连续催化重整反应器结焦含量软测量问题进行研究。首先从工艺机理分析出发 ,找出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算法进行神经网络训练 ,建立结焦含量软测量模型。然后采用 PLS- BP算法重新训练 ,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 。
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 appl...
出处
《华东理工大学学报(自然科学版)》
CAS
CSCD
北大核心
2001年第5期368-371,共4页
Journal of East China University of Science and Technology
基金
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