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Bootstrap estimation of sound power level determined by the survey method

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Języki publikacji
EN
Abstrakty
EN
The possibility of using the bootstrap method to determine the sound power level for the survey method was presented in this paper. Minimum values of the bootstrap algorithm input parameters have been determined for the estimation of sound power level. Two independent simulation experiments have been performed for that purpose. The first experiment served to determine the impact of the original random sample size, and the second to determine the impact of a number of the bootstrap replications on the accuracy of estimation of sound power level. The inference has been carried out based on the results of non-parametric statistical tests at significance level α = 0.05. The statistical analysis has shown that the minimum size of the original random sample n used to estimate the value of sound power level should be 4 elements for the survey method. The minimum number of bootstrap replications necessary for the estimation of sound power level should be B = 5100. The study on the usefulness and effectiveness of the bootstrap method in the determination of sound power level in real-life situation was carried out with the use of data representing actual results. The data used to illustrate the proposed solutions and carry out the analysis were the results of sound power levels of reference sound power source B&K 4205 were used.
Rocznik
Strony
art. no. 2023210
Opis fizyczny
Bibliogr. 19 poz., rys., wykr.
Twórcy
  • AGH University of Krakow, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, al. A. Mickiewicza 30, 30-059 Kraków, Poland
Bibliografia
  • 1. D. S. Cho, S. Mun; Determination of the sound power levels emitted by various vehicles using a novel testing method; Appl. Acoust., 2008, 69(3), 185-195; DOI: 10.1016/j.apacoust.2006.08.012
  • 2. S. E. Keith, K. Feder, S. A. Voicescu, V. Soukhovtsev, A. Denning, J. Tsang, N. Broner, W. Richarz, F. van den Berg; Wind turbine sound power measurements; J. Acoust. Soc. Am., 2016, 139(3), 1431-1435; DOI: 10.1121/1.4942405
  • 3. A. Saarinen; Declared noise emission values of machinery and equipment based on determination of the combined standard deviation; Appl. Acoust., 1999, 57(1), 1-15; DOI: 10.1016/S0003-682X(98)00042-5
  • 4. M. D. Fernandez, M. Recuero, J. M. Blas; Definition of a labelling code for the noise emitted by machines; Appl. Acoust., 2008, 69(2), 141-146; DOI: 10.1016/j.apacoust.2007.04.009
  • 5. ISO 3745:2012; Acoustics - Determination of sound power levels and sound energy levels of noise sources using sound pressure - Precision methods for anechoic rooms and hemi-anechoic rooms, 2012
  • 6. ISO 3746:2010; Acoustics - Determination of sound power levels and sound energy levels of noise sources using sound pressure - Survey method using an enveloping measurement surface over a reflecting plane, 2010
  • 7. W. Batko, B. Stępień; Application of the bootstrap estimator for uncertainty analysis of the long-term noise indicators; Acta Phys. Pol. A, 2010, 118(1), 11-16; DOI: 10.12693/APhysPolA.118.11
  • 8. W. Batko, B. Stępień; Type A standard uncertainty of long-term noise indicators; Arch. Acoust., 2014, 39(1), 25-36; DOI: 10.2478/aoa-2014-0004
  • 9. B. Stępień; Bootstrap confidence intervals for noise indicators; Acta Acust united Ac, 2016, 102(2), 389-397; DOI: 10.3813/AAA.918955
  • 10. B. Stępień; Comparison of selected methods of the confidence intervals for long-term noise indicators; Acta Acust united Ac, 2017, 103(2), 339-348, DOI: 10.3813/AAA.919062
  • 11. F. A. Farrelly, G. Brambilla; Determination of uncertainty in environmental noise measurements by bootstrap method; J. Sound Vibr., 2003, 268(1), 167-175; DOI: 10.1016/S0022-460X(03)00195-0
  • 12. M. Mateus, J. A. D. Carrilho, M. C. G. da Silva; Assessing the influence of the sampling strategy on the uncertainty of environmental noise measurements through the bootstrap method; Appl. Acoust., 2015, 89, 159-165; DOI: 10.1016/j.apacoust.2014.09.021
  • 13. C. Liguori, A. Ruggiero, D. Russo, P. Sommella; Innovative bootstrap approach for the estimation of minimum measurement time interval in road traffic noise evaluation; Measurement, 2017, 98, 237-242; DOI: 10.1016/j.measurement.2016.12.008
  • 14. C. Liguori, A. Ruggiero, D. Russo, P. Sommella; Estimation of the minimum measurement time interval in acoustic noise; Appl. Acoust., 2017, 127, 126-132; DOI: 10.1016/j.apacoust.2017.05.032
  • 15. G. Brambilla, V. Gallo, G. Zambon; Prediction of accuracy of temporal sampling applied to non-urban road traffic noise; J Pollut Eff Cont, 2015, 3(3), 147; DOI: 10.4172/2375-4397.1000147
  • 16. J. Vos; Estimating parameter values in a model for rating shooting sounds from field survey data; J. Acoust. Soc. Am., 2017, 141(2), 864-877; DOI: 10.1121/1.4976215
  • 17. B. Efron; Bootstrap methods: another look at the jackknife; Ann. Stat., 1979, 7(1), 1-26
  • 18. B. Efron, R. J. Tibshirani; An introduction to the bootstrap; Chapman & Hall/CRC: New York, USA, 1993
  • 19. Sound power source - type 4205. Product data; https://www.bksv.com/media/doc/bp0264.pdf (accessed on 2023.04.04)
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a0e9df98-78dd-4298-ade0-d7e47659b9d3
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