Statistical design of adaptive EWMA t chart with variable sampling interval

被引：0
|
作者：
Chang, Zhiyuan [1 ]
Sun, Jinsheng [1 ]
机构：
[1] School of Automation, Nanjing University of Science and Technology, Nanjing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2015年 / 21卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Adaptive EWMA; Average time to signal; Multi-objective optimization; T control chart; Variable sampling interval;
D O I：
10.13196/j.cims.2015.11.013
中图分类号：
学科分类号：
摘要：
Aiming at the long average alarm time of Exponentially Weighted Moving Average (EWMA) t control chart under uncontrolled state, a Variable Sampling Interval Adaptive EWMA t (VSI-AEWMA t) control chart was proposed. The smoothing parameter was adjusted adaptively to improve sensitivity of EWMA t control chart for detecting large size of assignable cause, and the average time to signal of EWMA t control chart was shortened by variable sampling interval algorithm. Markov chain method was used to calculate the average time to signal of VSI-AEWMA t control chart, and the corresponding parameter optimization algorithm was given. VSI-AEWMA t control chart was compared with VSI-EWMA t control chart with simulation analysis, and the result showed the better performs of VSI-AEWMA t control chart. © 2015, CIMS. All right reserved.
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页码：2937 / 2944
页数：7
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