EWMA图表
拟合优度
审查(临床试验)
控制图
统计
计算机科学
蒙特卡罗方法
可靠性(半导体)
可靠性工程
数学
过程(计算)
工程类
量子力学
操作系统
物理
功率(物理)
作者
Wei Zhao,Jiao Yu,Chunjie Wu
标识
DOI:10.1080/16843703.2023.2300020
摘要
Censoring is a common occurrence in life testing and reliability analysis, primarily due to constraints such as time and cost. In this paper, we construct control charts using goodness-of-fit test statistics to monitor novel and effective progressive Type II censoring data. In practice, scenarios where the number of samples in Phase I is insufficient often arise, prompting the proposal of self-starting exponentially weighted moving average (EWMA) control charts based on goodness-of-fit test statistics to monitor such processes. Numerous Monte Carlo simulation experiments demonstrate the excellent performance of the control charts proposed in this paper under different settings. A breakdown time of an insulating fluid example is utilized to illustrate the proposed EWMA and self-starting EWMA control charts.
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