Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model<sup>*</sup>

董伟威; 姚远; 高福荣

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Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model^*

Updated：2026-01-06

- Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model^*
- Chinese Journal of Chemical Engineering Vol. 20, Issue 6, Pages: 1121-1127(2012)
- Affiliations：
  
  1. National Engineering Research Center for Industrial Automation(South China),Guangzhou,China,511458
  2. Department of Chemical Engineering, National Tsing Hua University, Hsinchu,China,30013
- Author bio：
- Funds：
- DOI：
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- Published：2012
- Accepted：
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[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1121-1127.
DOI：

[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1121-1127. DOI：

摘要

Abstract

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.

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