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。
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。
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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