改进主元法在故障检测中的应用  

Improved PCA with Application to Fault Detection

作　　者：王晓初[1] 荣冈[1] 

机构地区：[1]浙江大学控制科学与工程学系,浙江杭州310027

出　　处：《江南大学学报（自然科学版）》2003年第3期221-224,共4页Joural of Jiangnan University (Natural Science Edition)　

基　　金："863"现代集成制造系统技术主题项目(2001AA411210)资助课题

摘　　要：提出一种改进的主元分析法,在线检测当前时间窗口内过程数据的主元子空间,与稳态无故障数据的主元子空间相比较,以判断是否发生了故障,仿真中,将改进主元法与常规主元法同时应用于Tennessee Eastman过程,结果表明:两者都能检测出对过程影响较大的故障,改进主元法可以更好地检测出对过程影响较小的故障。An improved PCA is presented which calculates the principal subspace of data collected from current time windows and compares it with that from data collected under a normal condition. Both the improved PCA and conventional PCA are used to monitor the Tennessee Eastman process. The simulation result shows that the two methods can detect strong process changes, but the improved PCA has better performance to detect weak process changes.

关 键 词：故障检测 田纳西过程 主元分析 主元子空间 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]