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Indexed by:期刊论文

Date of Publication:2016-08-31

Journal:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Included Journals:SCIE、EI、Scopus

Volume:55

Issue:34

Page Number:9229-9243

ISSN No.:0888-5885

Abstract:In this paper, a window,based stepwise sequential phase partition method is proposed to improve monitoring performance for nonlinear batch processes with multiphase operations. The three-dimensional information matrix Of batch operation is unfolded and normalized in the batch-wise direction to facilitate establishing the kernel principal component analysis (KPCA) models for phase partition. A moving window is introduced to improve the partition performance, with respect to the process dynamics and time sequence for operation. Consequently, phase partition algorithms are developed for even- and uneven-length batch processes, respectively. Moreover, a traversal algorithm is given to determine the optimal choice of the KPCA parameters and the window size for phase partition. A numerical case and two industrial multiphase processes of injection molding and penicillin fermentation are used to demonstrate the effectiveness and merit of the proposed phase partition method.