文献类型：期刊文献

英文题名：Development of a Hybrid Model for Industrial Ethylene Oxide Reactor

作者：Luo, Na[1];Du, Wenli[1];Ye, Zhencheng[1];Qian, Feng[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2012

卷号：51

期号：19

起止页码：6926

外文期刊名：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

收录：;EI(收录号：20122115045666);WOS:【SCI-EXPANDED(收录号:WOS:000304027700036)】；

基金：This work is supported by Major State Basic Research Development Program of China (2012CB720500), National Natural Science Foundation of China (Key Program: U1162202), National Natural Science Foundation of China (General Program: 61174118), 111 Project (B08021), and Shanghai Leading Academic Discipline Project (B504).

语种：英文

外文关键词：Ethylene - Forecasting

摘要：A hybrid modeling approach for an ethylene oxidation reactor with silver catalyst is proposed. Under the form of mechanistic model, support vector regression is used to construct the catalyst deactivation model with the operating data coming from real plant. Prior knowledge is extracted to enhance the generalization of the deactivation model. With the hybrid model, the prediction error is less than 5% for the prediction of industrial reactor. The approach is shown to predict the production more accurately and have more reliable extrapolation.