Authors: Xiang Gao, Lina Bai
Addresses: School of Automation, Yantai Nanshan University, Yantai, 265713, China. ' Sany Electric Co. Ltd., Beijing, 102206, China
Abstract: Independent component analysis (ICA) is a simple, powerful tool for analysing multi-variant data to find abnormal on process monitoring. Traditional ICA algorithm is implemented on the consumption of unique 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 to each other in this paper. Furthermore, a strategy of renovation of 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.
Keywords: dual rate systems; independent component analysis; ICA; multivariate statistical modelling; process monitoring.
International Journal of Computer Applications in Technology, 2011 Vol.41 No.1/2, pp.40 - 47
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 01 Sep 2011 *