...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Quality Control and Applied Statistics >Multivariate quality control chart for autocorrelated processes
【24h】

Multivariate quality control chart for autocorrelated processes

机译：自相关过程的多元质量控制图

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Traditional multivariate statistical process control techniques are based on the assumption that the successive observation vectors are independent. In recent years, due to automation of measurement and data collection systems, a process can be sampled at higher rates, which leads to autocorrelation. This can thus have a serious impact on the performance of the classical control charts. The problem is monitoring the mean vector of a process in which the observations can be modeled as a first-order autoregressive VAR(1) process. A control chart called the Z-chart is proposed, which is based on the single step finite intersection test. An important feature of the proposed method is that it not only detects an out-of-control status, but also helps to identify variable(s) for the out-of-control situation.
机译：传统的多元统计过程控制技术基于连续观察向量是独立的假设。近年来，由于测量和数据收集系统的自动化，可以以更高的速率对过程进行采样，这导致了自相关。因此，这可能会对经典控制图的性能产生严重影响。问题在于监视过程的平均矢量，在该过程中，观测值可以建模为一阶自回归VAR（1）过程。提出了基于单步有限相交测试的控制图Z-chart。所提出的方法的重要特征是它不仅检测失控状态，而且还有助于识别失控情况的变量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号