A dynamic process monitoring method based on sparse representation is proposed.
The method constructs the adjacency graph by solving a convex optimization problem.
The method performs dimension reduction in the clean data space.
The method is robust to noises and outliers.
The effectiveness is demonstrated through a numerical example and the TE problem.