Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.

在多变量统计过程控制中，传统的方法主要包括主元分析和偏最小二乘，这些方法存在着诸多缺陷。

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Multivariate statistical process control for process monitoring and diagnosis are becoming more common in academic re - search, but are still underutilized in industrial practice.

将多变量统计过程控制应用于过程监控与诊断，在学术研究中已经较为普遍，但在工业实践方面还未充分施行。

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Three approaches to Multivariate quality control are introduced. The first approach is to control the mean vector and covariance matrix of multivariate population in terms of one statistic.

介绍三种对多指标的质量控制方法，第一种方法是用一个标量控制多变量总体的均值向量和协方差矩阵；

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