Reference and additional methods for measurement uncertainty evaluation

Désenfant, Michèle; Priel, Marc

doi:10.1016/j.measurement.2016.10.022

Cited by 20 publications

(13 citation statements)

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“…After the GUM publication, an increasing interest has arisen in evaluating the measurement uncertainty. This interest is motivated on the fact that many important decisions are based on measurement results, for example, to assess product conformity [2,3], to check a material in relation to its specification limits [3] and to make therapeutic decisions. In such cases, it is essential to provide some indication of the result quality, and for this purpose, measurement uncertainty is the metrological parameter used.…”

Section: Introductionmentioning

confidence: 99%

“…The measurement uncertainty declaration is as important as the reporting of the measurement result itself. A measurement result without an assessment of its reliability is completely useless [3]. The comparison between different measurements of the same measurand, as well as between a measurement result and a specification limit, is impossible to assess without knowing their uncertainty [1].…”

Section: Introductionmentioning

confidence: 99%

“…The evaluation of uncertainty is often regarded as a difficult and arduous task [3]. This can be justified through the fact that GUM understanding and application require extensive metrological, statistical and mathematical knowledge, which is in addition to the lack of metrological culture.…”

Section: Introductionmentioning

confidence: 99%

“…This can be justified through the fact that GUM understanding and application require extensive metrological, statistical and mathematical knowledge, which is in addition to the lack of metrological culture. The uncertainty concept is difficult for people to understand and admit [3]. Thus, in several applications the uncertainty analysis is performed only in order to meet a specific regulation.…”

Section: Introductionmentioning

confidence: 99%

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Contributions to the adaptive Monte Carlo method

Leal

Silva

Arencibia

2020

J Braz. Soc. Mech. Sci. Eng.

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The GUM Supplement 1 presented the adaptive Monte Carlo (AMC) method. A basic implementation of an AMC procedure involves carrying out an increasing number of Monte Carlo trials until four parameters have stabilized in a statistical sense. Although the AMC method has been successfully used for uncertainty evaluations, the amount of stored data was seen as significant, and even after achieving stability, it can be lost with the increase in the number of trials. To overcome these problems, two modifications to the AMC method were proposed, implemented and validated. The first is related to data storage, while the second consists of applying an alternative criterion to assess convergence. After modifications, the AMC was named the modified adaptive Monte Carlo (MAMC) method and was applied when estimating the uncertainty of measurements carried out with a micrometer. The MAMC effectiveness was validated through the comparison of the uncertainty values and those from the application of the GUM and AMC methods. Under the evaluated experimental conditions, the MAMC showed greater repeatability when compared to AMC, regarding the number of trials to be carried out. This factor contributes toward the higher reliability of this method. The amount of data to be stored and manipulated through the application of the MAMC method was decreased significantly. This fact may increase the adoption of the AMC method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contributions to the adaptive Monte Carlo method

Leal

Silva

Arencibia

2020

J Braz. Soc. Mech. Sci. Eng.

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“…The increasing use of computers in measurements has highlighted the need to verify the software as an integral part of measurement systems [14]. According to [15], it is as important to declare the measurement uncertainty as it is to report the measurement result itself. A measurement or a test result without an assessment of its reliability is completely useless.…”

Section: Introductionmentioning

confidence: 99%

Traceability for measurements carried out on incremental step loading equipment

Júnior

Leal

Pires

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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The incremental step loading technique has been widely used for material hydrogen embrittlement characterization. However, due to numerous error sources that can affect the measurement results and to the current lack of standardization, users are facing difficulties in the evaluation of measurement uncertainty as well as in the metrological performance evaluation of incremental step loading equipment. The paper deals with evaluation of the metrological performance of equipment used to characterize the susceptibility of materials to hydrogen embrittlement through use of incremental step loading technique. Additionally, a procedure is developed to estimate the measurement uncertainty associated with the results obtained during the test. Two equipment configurations were verified. The first one, with a load cell of 20 kN, was used for test specimens with nominal dimensions of 30 mm, 30 mm and 200 mm in width, thickness and length, respectively; and the second, with a 1 kN load cell was used for test specimens with nominal dimensions of 10 mm × 10 mm × 60 mm. Three measurands were evaluated in each assemblage (force applied on the specimen, equipment arm positioning angle and stress). Several metrological parameters were estimated (bias, accuracy, expanded uncertainty, repeatability, maximum error, hysteresis and nonlinearity). The effectiveness of the proposed procedure for uncertainty assessment was tested by calculation of the uncertainty associated with lower value for fast fracture strength. From the obtained results, it was concluded that the two equipment configurations had excellent metrological properties, in both the loading and unloading phases. It was shown that the proposed procedure can properly estimate the uncertainty associated with measurement on incremental step loading testing. Considering the widely use of the incremental step loading technique, the results here presented can be particularly useful for ensuring the traceability of results to the International System of Units required by the ISO 17025 standard.

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