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2013 | 124 | 3 | 436-444

Article title

A New Conception of Measurement Uncertainty Calculation

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Content

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Languages of publication

EN

Abstracts

EN
The paper presents a conception of uncertainty calculation of a result obtained in a direct measurement realized in conditions described by random errors. The conception basis on the error definition being an effect of analysis of a quantization process and, first of all, it permits to determine uncertainty of a single measurement result in measuring and control systems processing signals varying in time. Division of the errors into two types A and B permits elaboration of such a procedure which enables uncertainty calculation for an average value of a series of measurements in the way close to this one proposed by GUM and widely discussed in last years. Theoretical considerations are illustrated by examples showing practical properties of the presented uncertainty calculation procedures.

Keywords

EN

Contributors

author
  • Silesian University of Technology, Faculty of Electrical Engineering, Institute of Metrology, Electronics and Automation, Akademicka 10, 44-100 Gliwice, Poland

References

  • [1] Guide to the Expression of Uncertainty in Measurement, ISO 1992, 1995
  • [2] R. Kacker, K. Sommer, R. Kessel, Metrologia 44, 513 (2007)
  • [3] W. Bich, Metrologia 49, 702 (2012)
  • [4] J. Jakubiec, Metrol. Measur. Syst. 12, 406 (2004)
  • [5] J. Jakubiec, Errors and Uncertainties in Measuring and Control Systems, no. 176, SUT, Gliwice 2010, (in Polish)
  • [6] W.F. Fuller, Measurement Error Models, Wiley, New York 1987
  • [7] A. Van der Veen, M.G. Cox, Metrologia 40, 45 (2003)
  • [8] A. Papoulis, Probability, Random Variables, and Stochastic Processes, Wiley, New York 1965
  • [9] W. Jakubik, M. Urbanczyk, E. Maciak, T. Pustelny, Bull. Pol. Acad. Sci., Techn. Sci. 56, 133 (2008)
  • [10] W. Batko, P. Pawlik, Acta Phys. Pol. A 121, 152 (2012)
  • [11] T.R. Birdie, K.S. Surana, Reliable Comput. 4, 269 (1998)
  • [12] D.I. Doser, K.D. Crain, M. Baker, Reliable Comput. 4, 241 (1998)
  • [13] C. Tyszkiewicz, T. Pustelny, Opt. Appl. 34, 507 (2004)
  • [14] O. Kosheleva, V. Kreinovitch, Reliable Comput. 5, 81 (1999)
  • [15] A. Neumaier, Interval Methods for Systems of Equations, Cambridge University Press, Cambridge 1990
  • [16] Guide to the Expression of Uncertainty in Measurement. Supplement 1. Numerical Methods for the Propagation of Distributions, ISO, 2004
  • [17] J. Jakubiec, Application of Reductive Interval Arithmetic to Uncertainty Evaluation of Measurement Data Processing Algorithms, Monograph no. 26, SUT, Gliwice 2002
  • [18] J. Jakubiec, Metrol. Measur. Syst. X, 137 (2003)

Document Type

Publication order reference

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YADDA identifier

bwmeta1.element.bwnjournal-article-appv124n316kz
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