| MWMPCA方法及其在间歇过程监控中的应用 |
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| 引用本文： | 邸丽清,张杰,阳宪惠. MWMPCA方法及其在间歇过程监控中的应用[J]. 吉林大学学报(信息科学版), 2004, 22(4): 397-400 |
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| 作者姓名： | 邸丽清 张杰 阳宪惠 |
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| 作者单位： | 清华大学,自动化系.北京,100084;Newcastle大学,化学工程及先进材料学院,UK,NE17RU |
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| 基金项目： | 英国EPSRC国际合作研究项目 |
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| 摘 要： | 针对传统的多向PCA(Principal Component Analysis)模型间歇过程监控的缺点,提出了一种移动窗多向主元分析(MWMPCA:Moving Window Multi-way Principal Component Analysis)模型.与MPCA方法比较,MWMPCA可很好地监控间歇过程操作的稳定性,在实时监控新的间歇过程时,只需利用已收集到的数据信息,同时还可根据实际反应情况调整主元的选取个数,以得到更好的监控性能.
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| 关 键 词： | 间歇过程 在线监控 多向主元分析 移动窗多向主元分析 |
| 文章编号： | 1671-5896(2004)04-0397-04 |
| 修稿时间： | 2004-04-14 |
MWMPCA with application to batch processes monitoring |
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| DI Li-qing,ZHANG Jie,YANG Xian-hui. MWMPCA with application to batch processes monitoring[J]. Journal of Jilin University:Information Sci Ed, 2004, 22(4): 397-400 |
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| Authors: | DI Li-qing ZHANG Jie YANG Xian-hui |
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| Affiliation: | DI Li-qing~1,ZHANG Jie~2,YANG Xian-hui~1 |
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| Abstract: | The traditional MPCA (Multi-way Principal Component Analysis) method needs to fill in the unknown part of the process variable from the current time until the end of the batch for on-line monitoring batch processes. So there is not only a greater computational burden, but also a possible deviation between the estimated data and the real data.A new approach to on-line monitoring batch processes is presented. The MWMPCA (Moving Window Multi-way Principal Component Analysis) method which only uses the known data for monitoring batch processes is presented in this paper to overcome the above disadvantages. |
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| Keywords: | batch process on-line monitoring multi-way principal component analysis(MPCA) moving window multi-way principal component analysis (MWMPCA) |
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