| 化工过程故障诊断中的多元统计方法 |
| |
| 引用本文： | 程吉锋,潘海天,夏陆岳,蔡亦军.化工过程故障诊断中的多元统计方法[J].化工进展,2009,28(5):750. |
| |
| 作者姓名： | 程吉锋 潘海天 夏陆岳 蔡亦军 |
| |
| 作者单位： | 浙江工业大学化学工程与材料学院 |
| |
| 摘 要： | 综述了多元统计方法在化工过程故障诊断领域的理论进展和应用现状，介绍了一些主要的多元统计方法，其中包括主元分析、部分最小二乘、独立成分分析和Fisher判别分析，展望了多元统计方法在化工过程故障诊断领域的发展与应用前景。
|
| 关 键 词： | 化工过程 故障诊断 多元统计方法 |
Multivariate statistical methods in fault diagnosis of chemical processes |
| |
| CHENG Jifeng,PAN Haitian,XIA Luyue,CAI Yijun.Multivariate statistical methods in fault diagnosis of chemical processes[J].Chemical Industry and Engineering Progress,2009,28(5):750. |
| |
| Authors: | CHENG Jifeng PAN Haitian XIA Luyue CAI Yijun |
| |
| Affiliation: | College of Chemical Engineering and Materials Science, Zhejiang University of Technology |
| |
| Abstract: | The status of research and major achievements about the multivariate statistical methods in the fault diagnosis of chemical process are reviewed.Some primary multivariate statistical methods are introduced,including principal component analysis(PCA),partial least square(PLS),independent component analysis(ICA) and Fisher discriminant analysis(FDA).The application prospect,and existing problems are analyzed. |
| |
| Keywords: | chemical process fault diagnosis multivariate statistical methods |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《化工进展》浏览原始摘要信息 |
|
点击此处可从《化工进展》下载全文 |
