开发贝叶斯式EWMA图表,用于检测逆高斯过程的形状参数的变化.
Amara Javed1, Tahir Abbas1,2, Nasir Abbas3
1Department of Statistics, Government College University Lahore, Lahore, Pakistan.
PloS one
|May 6, 2024
概括
贝叶斯控制图表通过有效管理变化来增强制造过程监控. 这些新的EWMA图表在检测工艺转移方面优于传统方法,由航空航天工业数据验证.
科学领域:
- 统计过程控制 统计过程控制
- 质量工程 质量工程
- 制造系统制造系统的制造
背景情况:
- 贝叶斯控制图为过程监控提供了先进的方法.
- 制造业的参数不确定性受益于贝叶斯式方法.
- 指数加权移动平均线 (EWMA) 图表对于过程变化控制至关重要.
研究的目的:
- 为反向高斯分布的形状参数设计和评估贝叶斯式EWMA控制图.
- 调查超参数对贝叶斯估计和后期风险的影响.
- 评估拟议的图表与经典的EWMA图表的性能.
主要方法:
- 开发使用不同损失函数的贝叶斯式EWMA控制图.
- 对贝叶斯估计和后期风险的超参数效应的分析.
- 使用平均运行长度 (ARL),运行长度标准偏差 (SDRL) 和运行长度中位数 (MRL) 的性能评估.
主要成果:
- 与经典EWMA图表相比,贝叶斯式EWMA图表表现出优越的性能.
- 提出的图表在检测形状参数的变化方面非常有效.
- 模拟研究和真实世界的航空航天制造数据验证了这些发现.
结论:
- 贝叶斯式EWMA控制图为过程监控提供了一种高效和有效的方法.
- 提出的方法提供了改进的故障检测能力.
- 对航空航天工业数据的应用证实了贝叶斯式方法的实用性和有效性.
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