转换后的瑞利分布数据的CUSUM图设计

Q4 Engineering

International Journal of Quality Engineering and Technology Pub Date : 2016-01-01 DOI:10.1504/IJQET.2016.081641

Dushyant Tyagi, B. Singh

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引用次数: 0

摘要

本文提出了用CUSUM图来监测生产过程中质量特性服从瑞利分布时的小位移。为了实现瑞利分布数据的近似正态性，采用了Nelson变换方法。与传统的Shewhart图相比，通过仿真研究证明了CUSUM图在检测过程中的小位移方面的效率。拟议图表的参数已确定为在固定的“控制平均值”和“控制ARL”下变化的真实平均值。提供了k和h值表，以帮助质量控制工程师设计最优的CUSUM图来检测δσ位移。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designing of CUSUM chart with transformed Rayleigh distributed data

In this paper, the CUSUM chart has been proposed to monitor the small shift in production process when the quality characteristic follows Rayleigh distribution. To achieve approximate normality of the Rayleigh distributed data, Nelson transformation method is used. The efficiency of CUSUM chart in detecting small shift in the process as compared to traditional Shewhart chart is demonstrated through a simulated study. Parameters for proposed chart has been determined for varying true mean at fix 'in control mean' and 'in control ARL'. Table of k and h values are provided to assist quality control engineers for designing an optimal CUSUM chart to detect δσ shift.

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来源期刊

International Journal of Quality Engineering and Technology Engineering-Safety, Risk, Reliability and Quality

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： IJQET fosters the exchange and dissemination of research publications aimed at the latest developments in all areas of quality engineering. The thrust of this international journal is to publish original full-length articles on experimental and theoretical basic research with scholarly rigour. IJQET particularly welcomes those emerging methodologies and techniques in concise and quantitative expressions of the theoretical and practical engineering and science disciplines.