Supported by the National Natural Science Foundation of China(61174114);the Research Fund for the Doctoral Program of Higher Education in China(20120101130016);the Natural Science Foundation of Zhejiang Province(LQ15F030006);and the Science and Technology Program Project of Zhejiang Province(2015C33033)
Conventional multivariate statistical methods for process monitoring may not be suitable for dynamic processes since they usually rely on assumptions such as time invariance or uncorrelation. We are therefore motivate...