Research on Fault Diagnosis in Reactor-Regenerator System of FCCU based on PSO-SVM

被引：0
|
作者：
Xiao, Yanliang [1 ]
Hou, Ligang [1 ]
Su, Chengli [1 ]
机构：
[1] Liaoning Shihua Univ, Informat & Control Engn Dept, Fushun, Liaoning Provin, Peoples R China
来源：
2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6 | 2011年
关键词：
fault diagnosis; Support Vector Machine; Particle Swarm Optimization; Catalytic Cracking;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fault diagnosis method in reactor-regenerator system of Fluidized Catalytic Cracking Unit (FCCU) based on Support Vector Machine (SVM) and Particle Swarm Optimization (PSO) was proposed. The algorithm was implemented for optimization selection for parameter of SVM classifier utilizing global searching property of PSO. A fault diagnosis model in reactor-regenerator System of FCCU based on SVM algorithm was constructed. The results show this fault diagnosis method can achieve high diagnostic accuracy, and this method is practical.
引用
收藏
页码：2935 / 2938
页数：4
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