Dynamic process monitoring method based on bi-objective optimization algorithm

The invention discloses a dynamic process monitoring method based on a bi-objective optimization algorithm, which aims to decompose the autocorrelation feature components from data while considering two manifestations of autocorrelation. The method comprises the following steps: firstly converting two representations of autocorrelation into two optimal objective functions; then, solving the optimal projection transformation matrix by repeat iteration of two optimal targets; and finally, after separating the autocorrelation from the sample data, performing online monitoring on the error. The dynamic process monitoring method based on the bi-objective optimization algorithm has advantages that: the bi-objective optimization algorithm involved in the method of the invention is a completely new modeling algorithm, and considers two manifestations of the autocorrelation at the same time, which aims at separating the feature components of temporal autocorrelation. In addition, the dynamic process monitoring method