Application of statistical process control to continuous processes

被引：0

作者：

Celano, G ^{[1
]}

Costa, A ^{[1
]}

Fichera, S ^{[1
]}

机构：

[1] Univ Palermo, Dipartimento Tecnol & Prod Meccan, I-90133 Palermo, Italy

来源：

AMST 02: ADVANCED MANUFACTURING SYSTEMS AND TECHNOLOGY, PROCEEDINGS | 2002年 / 437期

关键词：

control charts; autocorrelation; average run length;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Control charts represent an efficient and easy tool to assure the state of statistical quality control in a manufacturing process. These tools are also implemented in continuous processes, where the critical parameters are often monitored by on line sensors measuring data with short time intervals. In this paper a continuous process is monitored by using control charts and its dynamic is modeled through linear time series that allow the effects of the autocorrelation to be eliminated. In this way, the control charts can operate on residuals that result identically and independently distributed. A statistical analysis on EWMA, CUSUM and control charts for individual measurements has been carried out to select the most performing tool for process monitoring.

引用

页码：531 / 538

页数：8

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