This commentary highlights the importance of uncertainty and estimation associated with the measurement of noise levels in the industrial field. For example, evaluating noise workers' exposure in a workplace has to take into account levels of uncertainty. The authors investigated the effect of the variability of the measurand with respect to the uncertainty of the measurement and proposed a novel data-driven sampling approach that consists of three phases. Firstly, because the reliability of the noise indicators assessment depends significantly on the temporal variability of the noise, a statistic procedure is proposed to locate a corresponding minimum number of sound pressure levels necessary for having the statistical significance of the initial data set. Next, a numerical algorithm finds and deletes the anomalous values (outliers) from a population of real data. Finally, the inherent variability of the uncertainty of acoustic noise is calculated using the normal bootstrap method.
|Titolo:||A commentary on the role of noise measurement uncertainty in the industrial context|
RUGGIERO, Alessandro (Corresponding)
|Data di pubblicazione:||2021|
|Appare nelle tipologie:||2.1.1 Articolo su libro con DOI|