测量无氧气流量表的不确定性评估第二部分:"蒙特卡洛方法"
Mingming Wei1,2, Yan Qi3, Xingwang Chen1
1Jiangxi Provincial Meteorological Observation Center, Nanchang 330096, China.
The Review of scientific instruments
|March 20, 2025
概括
与GUM方法相比,蒙特卡洛方法 (MCM) 提供了与GUM方法相比更高的精度和效率,用于无气体气压计的不确定性评估. 适应性MCM (AMCM) 特别有效,而GUM方法仍然适合用于指示错误评估.
科学领域:
- 计量学和测量科学 计量学和测量科学
- 仪器仪表和测量仪器的使用
背景情况:
- 准确的测量不确定性评估对于aneroid气表校准至关重要.
- 传统的GUM (测量不确定性表达指南) 方法在某些评估中存在局限性.
研究的目的:
- 提出和评估蒙特卡洛方法 (MCM) 对于aneroid气压计测量不确定性.
- 为了比较MCM (单批和自适应) 与GUM方法的校准结果.
- 验证MCM在提高准确性和效率方面的适用性和有效性.
主要方法:
- 采用了改进的校准技术,用于精确的无氧气表数据收集.
- 应用单批MCM和自适应MCM (AMCM) 进行不确定性评估.
- 使用传统方法进行控制评估,并将结果与GUM和MCM进行比较.
主要成果:
- 与GUM方法相比,MCM表现出更高的准确性,可靠性和效率.
- 与单批MCM相比,AMCM表现出更高的性能,使用更少的模拟和更高的效率.
- MCM显著提高了指示错误不确定性的准确性,而GUM仍然适合这种特定的评估.
结论:
- 由于其效率和准确性,建议MCM,特别是AMCM用于aneroid气压计的不确定性评估.
- 该GUM方法得到了MCM的验证,并且仍然适用于指示错误不确定性评估.
- 该研究强调了MCM在提高无机气压计测量不确定性评估准确度方面的优势.
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