Abstract
Knowledge of the measurement uncertainty of test results is fundamentally important for laboratories, their customers and all parties using and interpreting these results. In conformity assessment, a measurement result is used to decide if an item of interest conforms to a specified requirement. Because of measurement uncertainty, there is always the risk of incorrectly deciding whether or not an item conforms to a specified requirement based on the measured value of a property of the item. Conformity assessment can be quite challenging when the entity measured is so close to the tolerance limits of the specification that its uncertainty, however estimated, critically affects decision-making. In such cases, different decision rules can be used to make statements of conformity. The aim of this paper is to provide a survey of methods for the evaluation of measurement uncertainty in testing, as well as to stress the need for appropriate estimation of measurement uncertainty. This paper also aims to assist testing laboratories in understanding the different decision rules used in conformity assessment and level of risk (such as false accept and false reject) associated with the decision rule employed.
Highlights
Credibility and reliability of analytical data has never caught the public eye more than today
In order to make adequate decisions, through the conformity assessment, which demonstrates that specified requirements relating to a product, process, system, person or body are fulfilled [3], it is necessary that these data contain evaluated measurement uncertainty, a parameter associated with the result of a measurement, that characterizes the dispersion of the values that could reasonably be attributed to the measurand [4]
This paper aims to assist testing laboratories in understanding the different decision rules used in conformity assessment and level of risk associated with the decision rule employed
Summary
- Rule Extracting based on MCG with its Application in Helicopter Power Train Fault Diagnosis M Wang, N Q Hu and G J Qin. - How many shades of grey are in conformity assessment due to measurement uncertainty? Ilya Kuselman, Francesca R Pennecchi, Ricardo J N B da Silva et al - How many shades of grey are in conformity assessment due to measurement uncertainty? Ilya Kuselman, Francesca R Pennecchi, Ricardo J N B da Silva et al
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