Process Monitoring Method Based on Dynamic Independent Subspace Analysis

Independent component analysis(ICA) is a focus in blind source separation researches recently. Traditional ICA method can only search for the independent component between signals,and be helpless to analyze the independence between signal groups. Independent Subspace Analysis(ISA) can research the independence of signal groups by searching for the maximum of vector kurtosis. According to this theory,the Dynamic independence of subspace(DISA) was studied by considering the self-correlation of the variables of the process,composing the time-series subspace and updating its data with the lapse of time,which makes the process monitoring method available. At last,the simulation results of TE process reveal this method is very effective.