A Multiphase Batch Process Phase Analysis and Identification Method by Way of Partitioning MPCA Model

摘要：

Multi-way principal component analysis (MPCA) is the most widely utilized multivariate statistical process control (MSPC) method for batch processes. Previous research on MPCA has commonly agreed that it is a method not suitable for multiphase batch processes analysis. In this paper, the abundant phase information is revealed by way of partitioning MPCA model for the first time, and a new phase identification method based on global dynamic information of MPCA is proposed. The application to injection molding (IM) shows that it is a feasible and effective method for multiphase batch process knowledge understanding, phase division and process monitoring.

关键词： batch process MPCA multiphase process monitoring

作者: Weiwei Dong Yuan Yao Furong Gao

作者单位: National Engineering Research Center for Industrial Automation (South China) Guangzhou HKUST Fok Yin National Engineering Research Center for Industrial Automation (South China) Guangzhou HKUST Fok Yin National Engineering Research Center for Industrial Automation (South China) Guangzhou HKUST Fok Yin

会议类型: 国内会议

会议名称: 第23届过程控制会议

会议地点: 厦门

会议语种:英文

页码: 1-6

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）