Measurement uncertainty evaluation is at the heart of science and industry as a cross-cutting discipline, impacting on all areas of measurement. Consistent evaluation and use of measurement uncertainty is vital to the implementation of trade agreements, legislation, directives and regulations. The Joint Committee on Guides in Metrology (JCGM) provides authoritative guidance documents to address the needs of the measurement community. The evaluation and expression of measurement uncertainty are essential for the interpretation of measurement data. Even if not explicitly expressed, knowledge about the dispersion of measurement results is important to distinguish between effects from the measurement procedure and effects from other causes. This suite of examples illustrates the use of the methods described in the Guide to the expression of Uncertainty in Measurement (GUM), and several other methods that have not yet been included in this suite of documents. The examples address issues such as the choice of the mechanism for propagating measurement uncertainty from the input quantities to the output quantities, the evaluation of standard uncertainty, modelling, reporting, and conformity assessment. This suite of examples illustrates good practice in evaluating measurement uncertainty in a variety of fields including calibration, testing, comparison and conformity, and relate to sectors that include environment, energy, quality of life, industry and society. Where useful, reference is made to software that supports the reproduction and implementation of the examples in practice. As many practitioners benefit more quickly from worked examples than from guidance documents, the provided set of carefully selected comprehensive examples facilitates the take up of uncertainty principles as well as improving the state of the art in measurement uncertainty evaluation in the respective disciplines. All examples have been peer-reviewed and assessed for internal consistency and compliance with guidance in the GUM suite of documents.

Compendium of examples: good practice in evaluating measurement uncertainty / van der Veen, A. M. H.; Cox, M. G.; Greenwood, J.; Bošnjakovic, A.; Karahodžic, V.; Martens, S.; Klauenberg, K.; Elster, C.; Demeyer, S.; Fischer, N.; Sousa, J. A.; Pellegrino, O.; Martins, L. L.; Ribeiro, A. S.; Loureiro, D.; Almeida, M. C.; Silva, M. A.; Brito, R.; Soares, A. C.; Shirono, K.; Pennecchi, F.; Harris, P. M.; Ellison, S. L. R.; Rolle, F.; Alard, A.; Caebergs, T.; de Boeck, B.; Pétry, J.; Sebaïhi, N.; Pedone, P.; Manta, F.; Sega, M.; Spazzini, P. G.; de Krom, I.; Singh, M.; Gardiner, T.; Robinson, R.; Smith, T.; Arnold, T.; Reader-Harris, M.; Forsyth, C.; Boussouara, T.; Mickan, B.; Yardin, C.; ˇcauševic, M.; Arduino, A.; Zilberti, L.; Katscher, U.; Neukammer, J.; Cowen, S.; Furtado, A.; Pereira, J.; Batista, E.; Dawkins, J.; Gillespie, J.; Lowe, T.; Ng, W.; Roberts, J.; Griepentrog, M.; Germak, A.; Barroso, O.; Danion, A.; Garrido, B.; Westwood, S.; Carullo, A.; Corbellini, S.; Vallan, A.. - (2020). [10.5281/zenodo.5142180]

Compendium of examples: good practice in evaluating measurement uncertainty

F. Pennecchi;F. Rolle;M. Sega;P. G. Spazzini;A. Arduino;L. Zilberti;A. Germak;A. Vallan
2020

Abstract

Measurement uncertainty evaluation is at the heart of science and industry as a cross-cutting discipline, impacting on all areas of measurement. Consistent evaluation and use of measurement uncertainty is vital to the implementation of trade agreements, legislation, directives and regulations. The Joint Committee on Guides in Metrology (JCGM) provides authoritative guidance documents to address the needs of the measurement community. The evaluation and expression of measurement uncertainty are essential for the interpretation of measurement data. Even if not explicitly expressed, knowledge about the dispersion of measurement results is important to distinguish between effects from the measurement procedure and effects from other causes. This suite of examples illustrates the use of the methods described in the Guide to the expression of Uncertainty in Measurement (GUM), and several other methods that have not yet been included in this suite of documents. The examples address issues such as the choice of the mechanism for propagating measurement uncertainty from the input quantities to the output quantities, the evaluation of standard uncertainty, modelling, reporting, and conformity assessment. This suite of examples illustrates good practice in evaluating measurement uncertainty in a variety of fields including calibration, testing, comparison and conformity, and relate to sectors that include environment, energy, quality of life, industry and society. Where useful, reference is made to software that supports the reproduction and implementation of the examples in practice. As many practitioners benefit more quickly from worked examples than from guidance documents, the provided set of carefully selected comprehensive examples facilitates the take up of uncertainty principles as well as improving the state of the art in measurement uncertainty evaluation in the respective disciplines. All examples have been peer-reviewed and assessed for internal consistency and compliance with guidance in the GUM suite of documents.
2020
Compendium of examples: good practice in evaluating measurement uncertainty / van der Veen, A. M. H.; Cox, M. G.; Greenwood, J.; Bošnjakovic, A.; Karahodžic, V.; Martens, S.; Klauenberg, K.; Elster, C.; Demeyer, S.; Fischer, N.; Sousa, J. A.; Pellegrino, O.; Martins, L. L.; Ribeiro, A. S.; Loureiro, D.; Almeida, M. C.; Silva, M. A.; Brito, R.; Soares, A. C.; Shirono, K.; Pennecchi, F.; Harris, P. M.; Ellison, S. L. R.; Rolle, F.; Alard, A.; Caebergs, T.; de Boeck, B.; Pétry, J.; Sebaïhi, N.; Pedone, P.; Manta, F.; Sega, M.; Spazzini, P. G.; de Krom, I.; Singh, M.; Gardiner, T.; Robinson, R.; Smith, T.; Arnold, T.; Reader-Harris, M.; Forsyth, C.; Boussouara, T.; Mickan, B.; Yardin, C.; ˇcauševic, M.; Arduino, A.; Zilberti, L.; Katscher, U.; Neukammer, J.; Cowen, S.; Furtado, A.; Pereira, J.; Batista, E.; Dawkins, J.; Gillespie, J.; Lowe, T.; Ng, W.; Roberts, J.; Griepentrog, M.; Germak, A.; Barroso, O.; Danion, A.; Garrido, B.; Westwood, S.; Carullo, A.; Corbellini, S.; Vallan, A.. - (2020). [10.5281/zenodo.5142180]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/73042
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