主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。-Principal component analysis is a statistical method. A set of variables that may be related to a set of variables that may be correlated to a set of variables that are not linearly dependent, after conversion is converted to a set of variables called principal components. This code is mainly used for process monitoring, fault diagnosis and other fields.