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

摘要：

A fault diagnosis method in reactorregenerator 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 reactorregenerator 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.

关键词： fault diagnosis Support Vector Machine Particle Swarm Optimization Catalytic Cracking

作者: Yanliang Xiao Ligang Hou Chengli Su

作者单位: Information and Control Engineering Department, Liaoning Shihua University, Liaoning province, Fushun, PR China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2940-2943

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）