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Metrology, Volume 1, Issue 1 (September 2021) – 5 articles

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2 pages, 289 KiB  
Editorial
Metrology: A New Open Access Journal with a Broad Scope and an Exciting Mission
by Han Haitjema
Metrology 2021, 1(1), 74-75; https://doi.org/10.3390/metrology1010005 - 03 Sep 2021
Viewed by 2454
Abstract
It is with sincere pleasure that we welcome you to the inaugural issue of Metrology [...] Full article
22 pages, 569 KiB  
Article
The Statistical Power and Confidence of Some Key Comparison Analysis Methods to Correctly Identify Participant Bias
by Ellie Molloy, Annette Koo, Blair D. Hall and Rebecca Harding
Metrology 2021, 1(1), 52-73; https://doi.org/10.3390/metrology1010004 - 26 Aug 2021
Cited by 1 | Viewed by 2577
Abstract
The validity of calibration and measurement capability (CMC) claims by national metrology institutes is supported by the results of international measurement comparisons. Many methods of comparison analysis are described in the literature and some have been recommended by CIPM Consultative Committees. However, the [...] Read more.
The validity of calibration and measurement capability (CMC) claims by national metrology institutes is supported by the results of international measurement comparisons. Many methods of comparison analysis are described in the literature and some have been recommended by CIPM Consultative Committees. However, the power of various methods to correctly identify biased results is not well understood. In this work, the statistical power and confidence of some methods of interest to the CIPM Consultative Committees were assessed using synthetic data sets with known properties. Our results show that the common mean model with largest consistent subset delivers the highest statistical power under conditions likely to prevail in mature technical fields, where most participants are in agreement and CMC claims can reasonably be supported by the results of the comparison. Our approach to testing methods is easily applicable to other comparison scenarios or analysis methods and will help the metrology community to choose appropriate analysis methods for comparisons in mature technical fields. Full article
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13 pages, 1201 KiB  
Article
A Possibilistic Kalman Filter for the Reduction of the Final Measurement Uncertainty, in Presence of Unknown Systematic Errors
by Harsha Vardhana Jetti and Simona Salicone
Metrology 2021, 1(1), 39-51; https://doi.org/10.3390/metrology1010003 - 17 Aug 2021
Cited by 5 | Viewed by 2208
Abstract
A Kalman filter is a concept that has been in existence for decades now and it is widely used in numerous areas. It provides a prediction of the system states as well as the uncertainty associated to it. The original Kalman filter can [...] Read more.
A Kalman filter is a concept that has been in existence for decades now and it is widely used in numerous areas. It provides a prediction of the system states as well as the uncertainty associated to it. The original Kalman filter can not propagate uncertainty in a correct way when the variables are not distributed normally or when there is a correlation in the measurements or when there is a systematic error in the measurements. For these reasons, there have been numerous variations of the original Kalman filter, most of them mathematically based (like the original one) on the theory of probability. Some of the variations indeed introduce some improvements, but without being completely successful. To deal with these problems, more recently, Kalman filters have also been defined using random-fuzzy variables (RFVs). These filters are capable of also propagating distributions that are not normal and propagating systematic contributions to uncertainty, thus providing the overall measurement uncertainty associated to the state predictions. In this paper, the authors make another step forward, by defining a possibilistic Kalman filter using random-fuzzy variables which not only considers and propagates both random and systematic contributions to uncertainty, but also reduces the overall uncertainty associated to the state predictions by compensating for the unknown residual systematic contributions. Full article
(This article belongs to the Collection Measurement Uncertainty)
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22 pages, 1012 KiB  
Review
An Overview of Acoustic Impedance Measurement Techniques and Future Prospects
by Nandeesh Hiremath, Vaibhav Kumar, Nicholas Motahari and Dhwanil Shukla
Metrology 2021, 1(1), 17-38; https://doi.org/10.3390/metrology1010002 - 11 May 2021
Cited by 21 | Viewed by 11051
Abstract
In order to progress in the area of aeroacoustics, experimental measurements are necessary. Not only are they required for engineering applications in acoustics and noise engineering, but also they are necessary for developing models of acoustic phenomenon around us. One measurement of particular [...] Read more.
In order to progress in the area of aeroacoustics, experimental measurements are necessary. Not only are they required for engineering applications in acoustics and noise engineering, but also they are necessary for developing models of acoustic phenomenon around us. One measurement of particular importance is acoustic impedance. Acoustic Impedance is the measure of opposition of acoustical flow due to the acoustic pressure. It indicates how much sound pressure is generated by the vibration of molecules of a particular acoustic medium at a given frequency and can be a characteristic of the medium.The aim of the present paper is to give a synthetic overview of the literature on impedance measurements and to discuss the advantage and disadvantage of each measurement technique. In this work, we investigate the three main categories of impedance measurement techniques, namely reverberation chamber techniques, impedance tube techniques, and far-field techniques. Theoretical principles for each technique are provided along with a discussion on historical development and recent advancements for each technique. Full article
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16 pages, 788 KiB  
Article
Accurate Measurements of a Wavelength Drift in High-Temperature Silica-Fiber Bragg Gratings
by Sergey Dedyulin, Elena Timakova, Dan Grobnic, Cyril Hnatovsky, Andrew D. W. Todd and Stephen J. Mihailov
Metrology 2021, 1(1), 1-16; https://doi.org/10.3390/metrology1010001 - 14 Apr 2021
Cited by 3 | Viewed by 2534
Abstract
Fiber Bragg gratings (FBG) are extensively used to perform high-temperature measurements in harsh environments, however the drift of the characteristic Bragg wavelength affects their long-term stability resulting in an erroneous temperature measurement. Herein we report the most precise and accurate measurements of wavelength [...] Read more.
Fiber Bragg gratings (FBG) are extensively used to perform high-temperature measurements in harsh environments, however the drift of the characteristic Bragg wavelength affects their long-term stability resulting in an erroneous temperature measurement. Herein we report the most precise and accurate measurements of wavelength drifts available up to date on high-temperature FBGs. The measurements were performed with a set of packaged π-phase-shifted FBGs for high wavelength resolution, in caesium and sodium pressure-controlled heat pipes for stable temperature environment and with a tunable laser for stable wavelength measurements with a 0.1 pm resolution. Using this dataset we outline the experimental caveats that can lead to inconsistent results and confusion in measuring wavelength drifts, namely: influence of packaging; interchangeability of FBGs produced under identical conditions; birefringence of π-phase-shifted FBGs; initial transient behaviour of FBGs at constant temperature and dependence on the previous thermal history of FBGs. In addition, we observe that the wavelength stability of π-phase-shifted gratings at lower temperature is significantly improved upon by annealing at higher temperature. The lowest value of the wavelength drift we obtain is +0.014 pm·h1 at 600 °C (corresponding to +0.001 °C·h1) after annealing for 400 h at 1000 °C, the longest annealing time we have tried. The annealing time required to achieve the small drift rate is FBG-specific. Full article
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