Systematic measurement errors of local B-coils due to holes

2018 ◽  
Vol 1 (3) ◽  
pp. 8-14 ◽  
Author(s):  
Stan ZUREK
Keyword(s):  
Measurement Errors ◽  
Systematic Measurement

A comparison of traceable spatial angle autocollimator calibrations performed by PTB and VTT MIKES

Metrologia ◽  
2021 ◽  
Author(s):  
Ralf D Geckeler ◽  
Matthias Schumann ◽  
Andreas Just ◽  
Michael Krause ◽  
Antti Lassila ◽  
...  
Keyword(s):  
Broad Spectrum ◽  
Measurement Errors ◽  
Systematic Measurement ◽  
Motivating Factors ◽  
Optical Surface ◽  
Transfer Standard ◽  
Surface Normal ◽  
National Metrology Institutes ◽  
Wide Range ◽  
The Creation

Abstract Autocollimators are versatile devices for angle metrology used in a wide range of applications in engineering and manufacturing. A modern electronic autocollimator generally features two measuring axes and can thus fully determine the surface normal of an optical surface relative to it in space. Until recently, however, the calibration capabilities of the national metrology institutes were limited to plane angles. Although it was possible to calibrate both measuring axes independently of each other, it was not feasible to determine their crosstalk if angular deflections were present in both axes simultaneously. To expand autocollimator calibrations from plane angles to spatial angles, PTB and VTT MIKES have created dedicated calibration devices which are based on different measurement principles and accomplish the task of measurand traceability in different ways. Comparing calibrations of a transfer standard makes it possible to detect systematic measurement errors of the two devices and to evaluate the validity of their uncertainty budgets. The importance of measurand traceability via calibration for a broad spectrum of autocollimator applications is one of the motivating factors behind the creation of both devices and for this comparison of the calibration capabilities of the two national metrology institutes. The latter is the focus of the work presented here.

scholarly journals Compensation of Systematic Measurement Errors in a PMU-Based Monitoring System for Electric Distribution Grids

2019 ◽  
Vol 68 (10) ◽  
pp. 3871-3882 ◽  
Author(s):  
Paolo Attilio Pegoraro ◽  
Kyle Brady ◽  
Paolo Castello ◽  
Carlo Muscas ◽  
Alexandra von Meier
Keyword(s):  
Monitoring System ◽  
Measurement Errors ◽  
Systematic Measurement ◽  
Electric Distribution ◽  
Distribution Grids

Bayesian conformity assessment in presence of systematic measurement errors

Metrologia ◽  
2016 ◽  
Vol 53 (2) ◽  
pp. S74-S80 ◽  
Author(s):  
Carlo Carobbi ◽  
Francesca Pennecchi
Keyword(s):  
Measurement Errors ◽  
Conformity Assessment ◽  
Systematic Measurement

scholarly journals The effect of systematic measurement errors on atmospheric CO<sub>2</sub> inversions: a quantitative assessment

2005 ◽  
Vol 5 (5) ◽  
pp. 8979-9001 ◽  
Author(s):  
C. Rödenbeck ◽  
T. J. Conway ◽  
R. Langenfelds
Keyword(s):  
Measurement Errors ◽  
Quantitative Assessment ◽  
Atmospheric Transport ◽  
Quantitative Information ◽  
Experimental Techniques ◽  
Systematic Measurement ◽  
Data Sets ◽  
Experimental Errors ◽  
Flux Estimation

Abstract. Surface-atmosphere exchange fluxes of CO2, estimated by an interannual atmospheric transport inversion from atmospheric mixing ratio measurements, are affected by several sources of errors, one of which is experimental errors. Quantitative information about such measurement errors can be obtained from regular co-located measurements done by different laboratories or using different experimental techniques. The present quantitative assessment is based on intercomparison information from the CMDL and CSIRO atmospheric measurement programs. We show that the effects of systematic measurement errors on inversion results are very small compared to other errors in the flux estimation (as well as compared to signal variability). As a practical consequence, this assessment justifies the merging of data sets from different laboratories or different experimental techniques (flask and in-situ), if systematic differences (and their changes) are comparable to those considered here. This work also highlights the importance of regular intercomparison programs.

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