About the treatment of systematic effects in metrology

Pavese, Franco

doi:10.1016/j.measurement.2009.07.017

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…It is well-known that uncertainty budgets can widely differ among research groups even for standardized techniques, especially for temperature-dependent properties [12]. In particular, the presence of systematic errors is troublesome and can only be reliably determined by intercomparisons with well-defined uncertainty budgets [13]. Furthermore, the development of new measurement methods, improved uncertainty calculations and characterization of reference materials have all been identified as key prospects of a recent European Roadmap of Thermophysical Properties [14].…”

Section: Introductionmentioning

confidence: 99%

Updated measurement method and uncertainty budget for direct emissivity measurements at the University of the Basque Country

Arrieta¹,

Echániz²,

Fuente³

et al. 2020

Metrologia

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This work reports on the upgrades made to the direct emissivity measurement facility of the UPV/EHU. The instrumental improvements consist of, among others, a high-vacuum system and wider temperature range (300 − 1273 K). Methodological developments include a refined measurement equation with updated parameters and a reworked ISO-compliant uncertainty budget, and a Monte Carlo procedure for accurate calculations of total emissivities from spectral data. These upgrades have been demonstrated and validated in measurements of both metallic and ceramic materials. The results obtained in this work are applicable to similar experimental devices for emissivity measurements in order to report reliable emissivity data.

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Section: Introductionmentioning

confidence: 99%

Updated measurement method and uncertainty budget for direct emissivity measurements at the University of the Basque Country

Arrieta¹,

Echániz²,

Fuente³

et al. 2020

Metrologia

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“…In general, systematic effects are challenging to estimate [12,21,22,[26][27][28][29], but can be partially constrained by researchers making multiple internal and external consistency checks: Is the result compatible with previous data or theoretical expectations? Is the same result obtained for different times, places, assumptions, instruments, or subgroups?…”

Section: Introductionmentioning

confidence: 99%

Not Normal: the uncertainties of scientific measurements

Bailey¹

2017

R. Soc. open sci.

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Judging the significance and reproducibility of quantitative research requires a good understanding of relevant uncertainties, but it is often unclear how well these have been evaluated and what they imply. Reported scientific uncertainties were studied by analysing 41 000 measurements of 3200 quantities from medicine, nuclear and particle physics, and interlaboratory comparisons ranging from chemistry to toxicology. Outliers are common, with 5σ disagreements up to five orders of magnitude more frequent than naively expected. Uncertainty-normalized differences between multiple measurements of the same quantity are consistent with heavy-tailed Student’s t-distributions that are often almost Cauchy, far from a Gaussian Normal bell curve. Medical research uncertainties are generally as well evaluated as those in physics, but physics uncertainty improves more rapidly, making feasible simple significance criteria such as the 5σ discovery convention in particle physics. Contributions to measurement uncertainty from mistakes and unknown problems are not completely unpredictable. Such errors appear to have power-law distributions consistent with how designed complex systems fail, and how unknown systematic errors are constrained by researchers. This better understanding may help improve analysis and meta-analysis of data, and help scientists and the public have more realistic expectations of what scientific results imply.

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“…The expression of measurement uncertainty of a quantity takes into account, several components of uncertainty, which are classified, such as, "A" and "B". Basically, the difference is in the evaluation of statistical reasoning of components of uncertainty [1] [2]. As mentioned, both the voltage and electric current was measured directly through DMMs, soon, the values can be expressed by Equations (4a) and (4b) [9] [10].…”

Section: Components and Assessment Of Uncertainty In The Electrical Cmentioning

confidence: 99%

“…Systematic effects are the most critical issue in measurement, especially in the metrological field, since their effect on the measured values and on the resulting total uncertainty are often dominant. In this respect, and considered the use of PV systems for electric power generation, it is necessary metrological suitability of the equipment used in the tests [2].…”

Section: Introductionmentioning

confidence: 99%

Metrological Analysis of Sunflower Prototype

Loschi¹,

Iano²,

Ferrarezi³

et al. 2015

SGRE

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It is well known that the solar tracking systems can increase the efficiency of the photovoltaic (PV) panel by about 30 percent. However, these systems require precise control of their components, mainly of the equipment's used for the measurement of energy. In this paper, a metrology analysis is conducted, through of the results obtained by Sunflower prototype. The Sunflower is a solar tracking system developed by H. J. Loschi. A tracking system through a microcontrolled timing logic, sending commands to a linear actuator that moves the system. The deductions, based on in research trials, confirms that the Sunflower prototype is more efficient in relation to fixed PV panels, it is possible to observe the difference in the efficiency of 31%, with a variation of ±0.8% (that depends the solar irradiation). The main purpose of this paper is to attest to the quality of the measurements carried out during the performance tests of the Sunflower prototype, evaluating the uncertainty of measurements collected through the measurements equipment, and, introducing methods to minimize uncertainties of measurement equipment in the PV systems.

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About the treatment of systematic effects in metrology

Cited by 9 publications

References 15 publications

Updated measurement method and uncertainty budget for direct emissivity measurements at the University of the Basque Country

Updated measurement method and uncertainty budget for direct emissivity measurements at the University of the Basque Country

Not Normal: the uncertainties of scientific measurements

Metrological Analysis of Sunflower Prototype

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