According to the dynamic characteristics of industrial production process and process variables of Gaussian distribution problems

this paper proposes a new monitoring method based on Dynamic Independent Factor Analysis(DIFA).Firstly

the paper chooses suitable time lags for each variable by auto-correlation analysis to construct the augmented matrix; secondly

compresses the augmented variable matrix by Principal Component Analysis(PCA); at last

computes the parameters by the Expectation Maximization Algorithm

establishes a mixed model of adaptive Gaussian

constructs the monitoring indices including GI2 and GSPE and presents the non-parametric algorithm for confidence bounds.This new monitoring method was used in an adsorption separation process and compared with the methods based on Modified Dynamic Factor Analysis(MDFA)and Independent Component Analysis(ICA)

the validity and superiority were proved.