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Applications of Two Mathematical Approaches to Predict Airborne Noise Levels in Ship Superstructures

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Shipboard Acoustics

Abstract

In this paper are reported two procedures to predict A-weighted and octave band noise levels on ship superstructures.

The first is based on the theory of Multiple Regression presented for the first time by Szczerbicki and Szuwarzynski, while the second one deals with the extension of the Optimal Linear Parameter Estimation Theory suggested by authors.

The comparison between the this methods and the reliability of the related results are also mentioned.

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References

  1. E. Szczerbicki, A. Szuwarzynski: “Noise Prediction on Ship ” - Archives Of Acoustics, 6, 2, 111–122 (1981)

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  2. E. Szczerbicki, A. Szuwarzynski: “Prediction of Octave Noise Spectra in Accommodations in the Superstructure of a Ship ” - Archives Of Acoustics, 8, 2, 119–130 (1983)

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  3. K. Umezaki, H. Mizuno, Y. Shimoda: “Study for Application of the Statistical Method to the Prediction of Ship Vibration Characteristics” - J.S.A. Kansai, Vol. 163 (Dec. 1976)

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  4. A. Tiano, M. Cuneo: “MIDCMAS: An Idetification Design and Control Package Applied to Marine System”. 7th IFAC-IFORS on Identification and System Parameter Estimation. York (U.K.) (July 1985)

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  5. N. Draper, H. Smith: “Applied Regression Analysis” - 2nd Ediction, John Wiley & Sons (1981)

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Author information

Authors and Affiliations

  1. Italian Ship Research Centre, CETENA, Genoa, Italy

    P. Calcagno, R. Maltese & F. Pinazzi

Authors
  1. P. Calcagno
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  2. R. Maltese
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  3. F. Pinazzi
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Editor information

Editors and Affiliations

  1. TNO Institute of Applied Physics (TPD), Delft, The Netherlands

    J. Buiten

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© 1986 Martinus Nijhoff Publishers, Dordrecht

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Cite this paper

Calcagno, P., Maltese, R., Pinazzi, F. (1986). Applications of Two Mathematical Approaches to Predict Airborne Noise Levels in Ship Superstructures. In: Buiten, J. (eds) Shipboard Acoustics. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3515-0_16

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  • DOI: https://doi.org/10.1007/978-94-009-3515-0_16

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8070-5

  • Online ISBN: 978-94-009-3515-0

  • eBook Packages: Springer Book Archive

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