.png){kind=icon}
返回
Reliability improvement through designed experiments with random effects
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cie.2017.07.027.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Design of experiment (DOE) is a useful tool to identify significant factors and choose factor levels for product reliability improvement. In practice, practitioners often ignore random effects that result from the experimental protocol in the reliability experiment. In this paper, we consider product reliability improvement with designed experiment when the test is actually not completely randomized. The Weibull distribution is used to model the lifetime, leading to a smallest extreme value distribution for the log-lifetime. Random effects are incorporated into the model through mean time to failure (MTTF). We improve the product reliability with maximizing the MTTF. The simulation study shows that ignoring random effects in modeling can result in unreliable factors identification and estimation. We also illustrate the proposed method with a real example. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword:
Weibull model
Maximum likelihood estimation
Mean lifetime
Random effects
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
机构
引用论文
.png){kind=icon}
分享收藏Process improvement approach to the saponification reaction by using statistical experimental design
PREAI
分享收藏分享收藏
查看更多内容