文献类型：期刊文献

中文题名：基于KPLS的延迟焦化柴油95%点的预测与估计

英文题名：Prediction and Estimation of 95% Distillation Point Diesel in Delayed Coking Unit Based on Kernel Partial Least Squares

作者：程剑[1];张凌波[1];顾幸生[1]

机构：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

年份：2015

卷号：27

期号：3

起止页码：598

中文期刊名：系统仿真学报

外文期刊名：Journal of System Simulation

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：中央高校基本科研业务费专项基金;上海市重点学科项目(B504)

语种：中文

中文关键词：柴油95%点;分馏塔;偏最小二乘法;核偏最小二乘法

外文关键词：95% distillation point diesel;;fractionating tower;;partial least squares;;kernel partial least squares

摘要：为了节约人工分析柴油95%点的成本和时间、提高延迟焦化装置调整的效率,在研究延迟焦化装置工艺流程和分析柴油95%点影响因素的基础上,提出了一种基于核偏最小二乘的柴油95%点的预测方法。仿真结果表明该方法能够有效、快速地处理各变量之间的非线性关系,并且预测结果也明显优于偏最小二乘方法等方法。所提出的方法可用于指导实际生产过程,提高企业效益。
In order to save labor cost and time of 95% distillation point of diesel analysis, and improve the efficiency of adjusting the device, an algorithm was proposed to predict 95% distillation point of diesel based on Kernel Partial Least Squares(KPLS), on the basis of studying the process of delayed coking unit and analyzing the main factors related to 95% distillation point of diesel. The experiment results show that this algorithm can deal with the non-linear relationship among the variables effectively and quickly. Furthermore, the results also show that the model based on KPLS is better than that based on partial least squares. So this algorithm can be used to guide production and improve the profit of enterprise in practice.