| 动态批次主元分析在化工过程中的应用研究 |
| |
| 引用本文： | 李元,温雪洁.动态批次主元分析在化工过程中的应用研究[J].沈阳化工学院学报,2010,24(1):74-78,87. |
| |
| 作者姓名： | 李元 温雪洁 |
| |
| 作者单位： | 沈阳化工学院信息工程学院,辽宁,沈阳,110142 |
| |
| 基金项目： | 国家自然科学基金，Liaoning education department fund，Liaoning education department fund |
| |
| 摘 要： | 本文研究了批次动态主元分析(BDPCA)及其在化工过程中的应用.批次动态主元分析是主元分析的一种延伸,通过把三维矩阵转化成二维矩阵,结合时滞变量算法捕捉批次过程中的动态特性完成过程的监视并给出了确定时滞变量的算法.以TE过程为例,与多向主元分析法相比,仿真结果表明,BDPCA算法实现了考虑过程中的批次动态特性并提高了对过程变化的故障检测能力.
|
| 关 键 词： | 统计过程控制 多向主元分析 动态批次主元分析 |
Application Research of Batch Dynamic Principal Component Analysis in Chemical Process |
| |
| LI Yuan,WEN Xue-jie.Application Research of Batch Dynamic Principal Component Analysis in Chemical Process[J].Journal of Shenyang Institute of Chemical Technolgy,2010,24(1):74-78,87. |
| |
| Authors: | LI Yuan WEN Xue-jie |
| |
| Abstract: | This paper presents the batch dynamic principal component analysis(BDPCA) and application in dynamic batch process.The method is an extension of the PCA.The three-dimensional matrix can be transformed to a bidimensional matrix and the lagged variables are used to capture the dynamic characteristics of the process.The algorithm of the time-lagged variable is proposed.BDPCA is applied to the wellknown TE process.The results show that, compared with MPCA, the BDPCA has successfully simulated the batch dynamic process and enhanced the faults detection ability for the process variations. |
| |
| Keywords: | statistical process control MPCA BDPCA |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
