Design of a control system for rotating equipment

被引：0

作者：

Yang, Rui ^{[3
,4
]}

Wang, Shuqi ^{[2
]}

Liu, Shengli ^{[2
]}

Liu, Yingjie ^{[1
,4
]}

Ye, Qing ^{[3
,4
]}

Li, Jinlong ^{[3
,4
]}

机构：

[1] Changzhou Univ, Inst Urban & Rural Min, Changzhou 213164, Jiangsu, Peoples R China

[2] Yellow River Delta Chambroad Chem Ind Res Inst Co, Binzhou 256600, Peoples R China

[3] Changzhou Univ, Sch Petrochem Engn, Changzhou 213164, Jiangsu, Peoples R China

[4] Jiangsu Key Lab Adv Catalyt Mat & Technol, Changzhou, Peoples R China

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2024年 / 180卷

基金：

中国国家自然科学基金;

关键词：

Rotating equipment; Machine learning; Control system; NEURAL-NETWORKS;

D O I：

10.1016/j.compchemeng.2023.108499

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Improving the equipment control capability of rotating equipment has been the focus of concern in chemical companies for energy saving and cost reduction. In this article, a visual control system including data processing, analysis and prediction was established for a pre-hydrogenation feed pump of the C5 hydrocarbon mixture separation process. 4200 sets of industrial data from a petrochemical factory were collected and screened. Moreover, five machine learning algorithms were investigated to choose the optimal model with the highest fitting effect. The designed control system achieves the real-time monitoring and the advance warning of the equipment, which benefits the process efficiency and system safety.

引用

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