Abstract
Sound quality is one of the main factors intervening in customers’ preferences when selecting a motor vehicle. For that reason, increasingly more precision in the models is demanded in the prediction of noise, as alternative to the traditional jury tests. Using sound synthesis methods, it is possible to obtain the auralization of sound produced by a physical sound source as it would be heard in an arbitrary receptor position. The physical source is represented by an acoustic equivalent source model and the engine noise is experimentally characterized by means of the substitution monopole technique. However, some factors have an influence on the accuracy of the model obtained such as regularization techniques. In this study the influence of the regularization techniques on the accuracy of the models has been discussed. It was found that the use of iterative algorithm improve the accuracy of the model compared to non-iterative techniques.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kloth, M., Vancluysen, K., Clement, F., Lars Ellebjerg, P.: Silence project. In: European Comission (2008)
Haik, Y.H.Y., Selim, M.Y.E., Abdulrehman, T.: Combustion of algae oil methyl ester in an indirect injection diesel engine. Energy 36(3), 1827–1835 (2011)
Albarbar, A., Gu, F., Ball, A.D.: Diesel engine fuel injection monitoring using acoustic measurements and independent component analysis. Measurement 43(10), 1376–1386 (2010)
Albarbar, A.: Acoustic monitoring of engine fuel injection based on adaptive filtering techniques. Applied Acoustics 71(12), 1132–1141 (2010)
Verheij, J.W., VanTol, F.H., Hopmans, L.J.M.: Monopole airborne sound source with in situ measurement of its volume velocity. In: Bernhard, R.J., Bolton, J.S. (eds.) Proceedings of Inter-Noise 95 - the 1995 International Congress on Noise Control Engineering, vol. 1, 2, pp. 1105–1108 (1995)
Leveque, G., Rosenkrantz, E., Laux, D.: Correction of diffraction effects in sound velocity and absorption measurements. Measurement Science &Technology 18(11), 3458–3462 (2007)
Berckmans, D.: Numerical case-study on the development of acoustic equivalent source models for use in sound synthesis methods. In: Proceedings of Isma 2008: International Conference on Noise and Vibration Engineering, vols. 1-8, pp. 3073–3083 (2008)
Mucchi, E., Vecchio, A.: Acoustical signature analysis of a helicopter cabin in steady-state and run up operational conditions. Measurement 43(2), 283–293 (2010)
Castellini, P., Revel, G.M., Scalise, L.: Measurement of vibrational modal parame-ters using laser pulse excitation techniques. Measurement 35(2), 163–179 (2004)
Berckmans, D.: Evaluation of substitution monopole models for tire noise sound synthesis. Mechanical Systems and Signal Processing 24(1), 240–255 (2010)
European Parliament, C.: The Assessment and menagement of environmental noise-Declaration by the Comission in the Conciliation Committee on the Directive relating to the assessment and management of environmental noise. Oficial Journal of the European Communities, 14 (2002)
Pézerat, C.: Identification of vibration excitations from acoustic measurements using near field acoustic holography and the force analysis technique. Journal of Sound and Vibration 326(3-5), 540–556 (2009)
Hafner, M.: Fast neural networks for diesel engine control design. Control Engineering Practice 8(11), 1211–1221 (2000)
Berckmans, D.: Numerical Comparison of Different Equivalent Source Models and Source Quantification Techniques for Use in Sound Synthesis Systems. Acta Acustica United with Acustica 97(1), 138–147 (2011)
Park, S.H., Kim, Y.H.: Effects of the speed of moving noise sources on the sound visualization by means of moving frame acoustic holography. Journal of the Acoustical Society of America 108(6), 2719–2728 (2000)
Kim, Y., Nelson, P.A.: Optimal regularisation for acoustic source reconstrucion by inverse methods. Journal of Sound and Vibration 275(3-5), 463–487 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Redel-Macías, M.D., Cubero-Atienza, A.J. (2013). Improvement of Accuracy in Sound Synthesis Methods by Means of Regularization Strategies. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-32922-7_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32921-0
Online ISBN: 978-3-642-32922-7
eBook Packages: EngineeringEngineering (R0)