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PCAxmeas_fault1
- 主元分析方法(PCA)是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 -Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process
PCA
- 主成分分析,一种掌握事物主要矛盾的统计分析方法,它可以从多元事物中解析出主要影响因素,揭示事物的本质,简化复杂的问题,主要用于数据降维-PCA,a kind of statistical analysis method which master the main self-contradict of things, it can resolve the main factors from multiple things reveal the nature of things, simplify
pls
- 实现多输入多输出数据的线性降维,实现多元统计分析与回归分析的综合能力。降维效果很好!-Realize multiple input multiple output data linear dimensional reduction, realization of multivariate statistical analysis and regression analysis of the comprehensive ability. Dimension reduction effect is