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A Commentary on the Role of Noise Measurement Uncertainty in the Industrial Context
2021 (English)In: Lect. Notes Mech. Eng., Springer Science and Business Media Deutschland GmbH , 2021, p. 324-331Conference paper (Refereed)
Abstract [en]

This commentary highlights the importance of uncertainty and estimation associated with the measurement of noise levels in the industrial field. As 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 which 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 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 uncertainty of acoustic noise is calculated using the normal bootstrap method. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2021. p. 324-331
Keywords [en]
Bootstrap method, Measurement uncertainty, Noise control
Identifiers
URN: urn:nbn:se:miun:diva-43085DOI: 10.1007/978-3-030-71956-2_26Scopus ID: 2-s2.0-85104830379ISBN: 9783030719555 (print)OAI: oai:DiVA.org:miun-43085DiVA, id: diva2:1595696
Note

Export Date: 20 September 2021; Conference Paper; Correspondence Address: Ruggiero, A.; Department of Industrial Engineering (DIIn), Italy; email: ruggiero@unisa.it

Available from: 2021-09-20 Created: 2021-09-20 Last updated: 2021-09-20Bibliographically approved

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Liguori, Consolatina

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CiteExportLink to record
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  • apa
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  • nn-NB
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