合格评定
一致性
测量不确定度
计算机科学
可靠性工程
工程类
系统工程
风险分析(工程)
心理学
业务
数学
统计
运营管理
社会心理学
作者
Alessio Carullo,F. Manta,R. Mugno,Emanuele Paolino,Paola Pedone,Gianfranco Albis,Simone Corbellini,Alberto Vallan
出处
期刊:IEEE Instrumentation & Measurement Magazine
[Institute of Electrical and Electronics Engineers]
日期:2024-05-28
卷期号:27 (4): 5-12
被引量:7
标识
DOI:10.1109/mim.2024.10540404
摘要
The statements of conformity are widely spread in testing, inspection, and calibration fields and are essential to ensure that products, materials, services, and systems comply with established standards, regulations, and legal requirements. In calibration, this activity consists of the comparison of the measurement results within the defined limits (e.g., specifications). This task can be very challenging when the measurement result is close to the limit, making it difficult to take a decision on compliance (or noncompliance) with respect to the limits. Measurement uncertainty introduces the risk that the actual value of the measurand is out of specification even if the measured value falls within the specification limits, leading to the Probability of False Acceptance (PFA), or is in specification even if the measured value falls outside, causing the Probability of False Rejection (PFR). The way in which measurement uncertainty is taken into account when declaring compliance with a specific requirement is called “decision rule” and is defined according to the risk that researchers are willing to accept. In general, the decision rule can take measurement uncertainty into account either directly, by guard banding, or indirectly, such as by imposing an upper limit on measurement uncertainty (e.g., through defining the ratio between specification and measurement uncertainty).
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