Abstract
Monte Carlo method has been implemented for uncertainty estimation in IPRT calibration. The work is based on the Callendar van Dusen equation for 0–500 °C calibration range. Derivation of the mathematics model for running the simulation is also described. Results are compared with output from the traditional GUM method and we find close agreement between two methods.
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References
J.V. Nicholas and D.R. White. Traceable temperatures, an introduction to temperature measurement and calibration, 2nd edn. Wiley, New York, (2001).
100:2008, JCGM. Evaluation of measurement data—guide to the expression of uncertainty in measurement. September 2008.
101:2008, JCGM. Evaluation of measurement data-supplement 1 to the “guide to the expression of uncertainty in measurement”—propagation of distributions using a Monte Carlo method, (2008).
V. Carpentier, M. Megharfi, J. Quint, M. Priel, M. Desenfant and R. Morice. Estimation of hygrometry uncertainties by propogation of distributions. Metrologia, 41 (2004) 432–438.
V.S. Jokic, L. Zupunski and V. Gordanic. Probability health risk assessment and measurement uncertainty estimation related to internal exposure to natural radionuclides from soil. MAPAN-J. Metrol. Soc India, 31 (2016): 97–105.
V.A. Kulkarni and B.B. Ahuja. Test specific uncertainty analysis of zirconia-dolerite ball plate by Monte Carlo simulation. MAPAN-J. Metrol. Soc India, 31 (2016): 1–8.
S. Lee, J.W. Chung and I.M. Choi. Comparison of KCRV and its uncertainty of CCM key comparisons by monte carlo method. MAPAN-J. Metrol. Soc India, 30 (2015): 267–271.
J. Yang, G. Li, B. Wu, J. Gong, J. Wang and M. Zhang. Efficient methods for evaluating task-specific uncertainty in laser-tracking measurement. MAPAN-J. Metrol. Soc India, 30 (2015): 105–117.
H. Sato. Influence of index table accuracy on roundness calibration in the multi-step method using Monte Carlo simulation. MAPAN-J. Metrol. Soc India, 26 (2011): 37–46.
K. Shahanaghi and P. Nakhiri. A new optimized uncertainty evaluation applied to the Monte-Carlo simulation in platinum resistance thermometer calibration. Measurement, 43 (2010): 901–911.
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The authors would like to thank all of temperature subdivision of Metrologi LIPI for the great discussion so that this work can be done in time.
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Tistomo, A.S., Larassati, D., Achmadi, A. et al. Estimation of Uncertainty in the Calibration of Industrial Platinum Resistance Thermometers (IPRT) Using Monte Carlo Method. MAPAN 32, 273–278 (2017). https://doi.org/10.1007/s12647-017-0222-8
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DOI: https://doi.org/10.1007/s12647-017-0222-8