Building and updating Independent Component Analysis model in dual rate system

摘要：

Independent Component Analysis (ICA) is a simple,powerful tool for analyzing multi-variant data to find abnormal on process monitoring.Traditional ICA algorithm is implemented on the consumption of only one sampling rate in the control system.However,there are a few multi rate control systems that could not apply the primitive ICA algorithm to the surveillance of industrial process.Several approaches of multivariate statistical modelling ICA are presented on dual rate system whose variables are correlated each other in this paper.Furthermore,a strategy of updating ICA model on the dual rate system is also suggested with restricted number of new samples to replace the equally number of earliest one.The simulation results verify the capability of the modelling and updating ICA on dual rate system with their calculated statistics.

关键词： dual rate system Independent Component Analysis (ICA) process monitoring multivariate statistical modelling

作者: Xiang Gao Li-na Bai

作者单位: School of Information EngineeringShenyang Institute of Chemical Technology,Shenyang,110142,P.R.China School of Information Engineering Shenyang Institute of Chemical Technology,Shenyang,110142,P.R.Chin

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）