Non-Gaussian Process Monitoring

摘要: Independent component analysis (ICA) has recently been introduced for the non-Gaussian process monitoring purpose. Compared to traditional principal (PCA) method, ICA gained more satisfactory performance processes with data information. This chapter first gives a review of different ICA-based methods, and then demonstrates two-step ICA-PCA information extraction strategy-based method which are simultaneously driven by Gaussian components. Furthermore, in order improve performance, both support vector description factor model have incorporated into framework.