Magnetic field radiated emissions measurement uncertainty evaluation using adaptive Monte Carlo method
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TM937.1;TB972

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    Abstract:

    Guide to the expression of uncertainty in measurement (GUM) is not suitable for uncertainty evaluation when the input and output variants are nonlinearly correlated or the output variant is not normally distributed. Aiming to this problem, adaptive Monte Carlo method (AMCM) is adapted for uncertainty evaluation of magnetic field radiated emissions measurement from 25 Hz to 100 kHz (RE101). At first, calculation steps for measurement uncertainty evaluation using Monte Carlo method (MCM) and AMCM are promoted. Then RE101 measurement uncertainty is evaluated by AMCM and GUM method respectively. By comparing the difference of coverage interval values of the two methods and the numerical tolerance, it is shown that the evaluation result of AMCM is more reliable, thus suitable for RE101 measurement uncertainty evaluation. The AMCM can be popularized to other electromagnetic compatibility (EMC) test items for measurement uncertainty evaluation, which improving measurement uncertainty evaluation reliability effectively.

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  • Received:
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  • Online: May 19,2021
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