A theoretical model for the evaluation of measurement uncertainty of a sound level meter calibration by comparison method in an anechoic room

Kim, Y.T; Lee, Y.B; Jho, Moon Jae; Suh, Sang Joon

doi:10.1016/j.apacoust.2004.03.007

Cited by 2 publications

(1 citation statement)

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“…Several authors [5][6][7] have already dealt with positional error on specific acoustic measurements. Among them, Kim et al presented an approximation of the influence of positional uncertainty as part of a model for evaluating the uncertainty in sound level meter calibration by comparison.…”

Section: Introductionmentioning

confidence: 99%

The influence of positional uncertainty in free-field microphone calibration

Molares¹,

Seoane²,

Giménez³

et al. 2008

Metrologia

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The positioning error of an acoustic transducer may become a relevant source of uncertainty in some circumstances, especially in the high frequency range. The issue of quantifying this uncertainty is still far from being resolved, though some efforts have been made.This paper studies positional uncertainty based on the concept of an uncertainty sphere. A general characterization of positional errors is introduced and the sound pressure uncertainty is calculated for two basic calibration scenarios where an analytical formula exists.The results show that the influence of positional uncertainty cannot be neglected. Even in the low-frequency-range (<3 kHz), it may give rise to a slight deviation that could be considered noticeable for calibration purposes. At high frequencies the consequences become dramatic, showing deviations that can exceed 5 dB for non-frontal incidence. A strong dependence is found between the output uncertainty and the source directivity pattern.For cases where an analytical solution is not available, the contribution to uncertainty can be calculated via Monte Carlo simulations. A validation and convergence study of this application of the Monte Carlo method (MCM) is presented. The results show that the method is suitable for a great variety of practical scenarios.

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Section: Introductionmentioning

confidence: 99%