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《中国化学工程学报(英文版)》 2012-06
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Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model

DONG Weiwei 1 , YAO Yuan 2 and GAO Furong 1, ** 1 National Engineering Research Center for Industrial Automation (South China), Guangzhou 511458, China 2 Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, China  
Multi-way principal component analysis (MPCA) is the most widely utilized multivariate statistical process control method for batch processes. Previous research on MPCA has commonly agreed that it is not a suitable method for multiphase batch process analysis. In this paper, abundant phase information is revealed by way of partitioning MPCA model, and a new phase identification method based on global dynamic information is proposed. The application to injection molding shows that it is a feasible and effective method for multiphase batch process knowledge understanding, phase division and process monitoring.
【Fund】: Supported by the Guangzhou Scientific and Technological Project (2012J5100032);; Nansha District Independent Innovation Project (201103003)
【CateGory Index】: TQ019;O212.4
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