Evaluation of measurement uncertainty using mixed distribution for conducted emission measurements |
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Authors: | Aleksandar Kova?evi? Dragoljub Brki?Predrag Osmokrovi? |
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Affiliation: | a Technical Test Centre, Department of Electromagnetic Compatibility and Environmental Conditions, Vojvode Stepe 445, 11000 Belgrade, Serbia b Faculty of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, PO Box 3554, 11000 Belgrade, Serbia |
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Abstract: | For evaluation of measurement uncertainty for conducted emission measurements, we propose a new model which uses mixed distribution. Namely, evaluation of probability density function (PDF) for the measurand has been done using a Monte Carlo method and a modified least-squares method. As the Monte Carlo method required numerical calculation of approximate PDF values, pseudorandom number generator (PRNG) was developed for these requirements. For illustration, this work presents mixed distributions of two normal distributions, normal and rectangular distributions, and normal and also triangular distributions in case of conducted emission measurements. The results obtained by the Monte Carlo method and the modified least-squares method are compared to the corresponding results when applying the standard Guide to the Expression of Uncertainty in Measurement (GUM) procedure. |
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Keywords: | Measurement uncertainty Probability density function Mixed distribution Monte Carlo method Modified least-squares method Conducted emission |
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