A directional multivariate control chart for monitoring univariate autocorrelated processes

被引：0

作者：

Yang, Wenwan ^{[1
]}

Zi, Xuemin ^{[1
]}

Zou, Changliang

机构：

[1] Tianjin Univ Technol & Educ, Tianjin, Peoples R China

来源：

ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3 | 2012年 / 217-219卷

关键词：

statistical process control; autocorrelated; spatial sign test; EWMA;

D O I：

10.4028/www.scientific.net/AMM.217-219.2607

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A new nonparametric multivariate control chart, based on a spatial-sign test and integrating the directional information from processes with the exponentially weighted moving average (EWMA) scheme, is developed for monitoring the mean of a univariate autocorrelated process. Simulation studies show that it has robustness in in-control (IC) performance, and it is more sensitive to the small and moderate mean shifts for non-normality underlying process than other existing multivariate chart methods.

引用

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页码：2607 / 2613

页数：7

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