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SPC WITH CORRELATED OBSERVATIONS FOR THE CHEMICAL AND PROCESS INDUSTRIES

机译:具有化学和过程工业相关观察结果的SPC

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摘要

In the use of statistical control charts, violating the basic assumption of independent or uncorrelated data results in a chart that exhibits poor statistical performance, resulting in an increased number of false alarms. Autocorrelated data requires modifications to traditional control chart techniques. A method based on the exponentially weighted moving average that uses variable control limits is presented. Using simulation, we explore the shift detection properties of this moving centre-line technique and will show how the detection capability of the procedure can be enhanced using supplemental tracking signal tests. Guidelines and conditions for use are also presented.
机译:在使用统计控制图时,违反独立或不相关数据的基本假设会导致图表的统计性能不佳,从而导致虚警数量增加。自相关数据需要对传统控制图技术进行修改。提出了一种基于指数加权移动平均值的方法,该方法使用可变控制极限。通过仿真,我们探索了这种移动中线技术的移位检测特性,并将展示如何使用补充跟踪信号测试来增强该过程的检测能力。还介绍了使用准则和条件。

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