| 基于分片化MPCA模型的多阶段批次过程阶段分析与阶段辨识方法(英文) |
| |
| 引用本文： | 董伟威,姚远,高福荣.基于分片化MPCA模型的多阶段批次过程阶段分析与阶段辨识方法(英文)[J].中国化学工程学报,2012,20(6):1121-1127. |
| |
| 作者姓名： | 董伟威 姚远 高福荣 |
| |
| 作者单位： | 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 |
| |
| 基金项目： | Supported by the Guangzhou Scientific and Technological Project (2012J5100032);Nansha District Independent Innovation Project (201103003) |
| |
| 摘 要： | 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.
|
| 关 键 词： | batch process multi-way principal component analysis multiphase process monitoring |
| 收稿时间： | 2012-05-27 |
Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model |
| |
| DONG Weiwei,YAO Yuan,and GAO Furong.Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model[J].Chinese Journal of Chemical Engineering,2012,20(6):1121-1127. |
| |
| Authors: | DONG Weiwei YAO Yuan and GAO Furong |
| |
| Affiliation: | 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 |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 CNKI ScienceDirect 等数据库收录！ |
| 点击此处可从《中国化学工程学报》浏览原始摘要信息 |
|
点击此处可从《中国化学工程学报》下载全文 |
