Research On Fault Detection Of Tennessee Eastman Process Based On PCA

摘要：

　　Principal component analysis (PCA) method used in the fault diagnosis of industrial process is the most famous one of multivariate statistical methods.It concerns using few linear combinations of the set of process variables to explain the whole process operation state,and to detect the process fault.In this paper,the PCA method has been applied in Tennessee Eastman (TE) chemical process model.The simulation results show that PCA method can detect the fault quickly and effectively in some complex nonlinear chemical process.

关键词： Principal component analysis Tennessee Eastman Fault detection

作者: Dan Chen Zetao Li Zhiqin He

作者单位: College of Electrical Engineering, Guizhou University, Guiyang 550025 College of Electrical Engineering, Guizhou University, Guiyang 550025;College of Electrical Engineer

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 1078-1081

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）