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。
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.
出处
《化工进展》
EI
CAS
CSCD
北大核心
2009年第5期750-754,共5页
Chemical Industry and Engineering Progress
关键词
化工过程
故障诊断
多元统计方法
chemical process
fault diagnosis
multivariate statistical methods
