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Application of the Monte Carlo Method for the Estimation of Uncertainty in Radiofrequency Field Spot Measurements Cover

Application of the Monte Carlo Method for the Estimation of Uncertainty in Radiofrequency Field Spot Measurements

Open Access
|Jun 2015

Abstract

The objective of the present work is the application of the Monte Carlo method (GUMS1) for evaluating uncertainty in electromagnetic field measurements and the comparison of the results with the ones obtained using the 'standard' method (GUM). In particular, the two methods are applied in order to evaluate the field measurement uncertainty using a frequency selective radiation meter and the Total Exposure Quotient (TEQ) uncertainty. Comparative results are presented in order to highlight cases where GUMS1 results deviate significantly from the ones obtained using GUM, such as the presence of a non-linear mathematical model connecting the inputs with the output quantity (case of the TEQ model) or the presence of a dominant nonnormal distribution of an input quantity (case of U-shaped mismatch uncertainty). The deviation of the results obtained from the two methods can even lead to different decisions regarding the conformance with the exposure reference levels.

Language: English
Page range: 72 - 76
Submitted on: Nov 10, 2014
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Accepted on: Apr 30, 2015
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Published on: Jun 9, 2015
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2015 S. Iakovidis, C. Apostolidis, T. Samaras, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.