The role of uncertainty of measurement In conformance testing

S. Sidney
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Abstract

The vast majority of routine testing that takes place requires that the laboratory or the customer of the laboratory evaluates the test results in terms of either prescribed (regulations) or production limits. In more recent times simple acceptance rules that have been established over time have given way to a more ´scientific’ approach. These new ideas are intended to provide users of test and calibration reports that are specifically used for Conformance Testing, with more comprehensive support when the data is questionable. This paper reflects on what is questionable data, how it arises and makes reference to a new guidance document that was developed by the BIPM Joint Working Group on Guides • WG1 and published in 2012. It tackles the thorny question of Uncertainty of Measurement in Conformance Testing and provides a number of approaches which can be taken to help resolve issues that may arise. Although the BIPM, and this working group in particular, have traditionally focused on metrological issues, this approach will be of interest to all laboratories. As the role of uncertainty of measurement impacts more and more on certificates being issued, laboratories need to not only be aware of the effect that this has on conformance testing, but also be knowledgeable about how to answer customer’s queries in this regard. It is also hoped that authorities and regulators will start to adopt some of these ideas in order to avoid the cost or risk of incorrect decisions and it is hoped that this will also have a positive effect on decisions made as a result of laboratory data.
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测量不确定度在一致性测试中的作用
绝大多数常规检测要求实验室或实验室客户根据规定(法规)或生产限制评估检测结果。在最近的时代,随着时间的推移,简单的接受规则已经让位于更“科学”的方法。这些新想法旨在为测试和校准报告的用户提供专门用于一致性测试的报告,当数据有问题时提供更全面的支持。本文反映了什么是有问题的数据,它是如何产生的,并参考了一份新的指导文件,该文件由BIPM指南联合工作组•WG1制定,并于2012年发布。它解决了一致性测试中测量不确定性的棘手问题,并提供了许多方法,可以用来帮助解决可能出现的问题。虽然BIPM,特别是这个工作组,传统上关注的是计量问题,但这种方法将引起所有实验室的兴趣。由于测量不确定度的作用对所颁发的证书的影响越来越大,实验室不仅需要意识到这对一致性测试的影响,还需要了解如何回答客户在这方面的疑问。还希望当局和监管机构将开始采用其中的一些想法,以避免错误决策的成本或风险,并希望这也将对根据实验室数据做出的决策产生积极影响。
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