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MEWMA控制图失控信号的诊断
A diagnosing method of runaway signals of MEWMA control charts
【摘要】 MEWMA控制图是最有应用价值的多元控制图之一.然而,当MEWMA图发出失控信号时,很难说明哪个变量或哪些变量处于失控状态.笔者利用主成分分析进行MEWMA控制图失控信号的诊断,并引用Lowry等人提出的实例进行了实证分析.
【Abstract】 MEWMA control chart is one of the most applied multivariate control charts. However, when a MEWMA chart issues a signal, it is difficult to identify which variable or set of variables is out of control. This article applies principal component analysis to diagnose signals in MEWMA charts and gives a demonstration combined with the example brought forward by Lowry.
【关键词】 EWMA;
协方差矩阵;
主成分诊断图;
【Key words】 exponentially weighted moving average; covariance matrix; principal c;
【Key words】 exponentially weighted moving average; covariance matrix; principal c;
- 【文献出处】 中国计量学院学报 ,Journal of China Institute of Metrology , 编辑部邮箱 ,2005年01期
- 【分类号】O213.1
- 【被引频次】5
- 【下载频次】146