Sound quality evaluation of the impact noise induced by road courses having an impact bar and speed bumps in a passenger car

Abstract

Sound quality indices for impact noise are developed by using sound metrics and a subjective evaluation. A new sound metric for impact sound is developed on the basis of a continuous wavelet transform, which is a useful tool for the analysis of non-stationary signals such as impact noise. Two other conventional sound metrics related to sound modulation and fluctuation are also considered. In all, three sound metrics are employed to develop impact sound quality indices for several specific impact courses on the road. The indices are verified by comparing the correlation between the index output and results of a subjective evaluation based on a test. These indices are successfully applied to an objective evaluation for improvement in the impact sound quality for cases where some parts of the suspension system of the test car are modified.

Keywords

Keywords impact noise sound metrics car subjective evaluation wavelet transform

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References

Hamilton

‘Sound quality of impulsive noises: An applied study of automobile door closing sounds.’ In Proceedings of the 1999 SAE Noise and Vibration Conference, Traverse City, Michigan, USA, 1999, SAE paper 1999–01-1684 (SAE International, Warrendale, Pennsylvania).

Sellerbeck

Nettlebeck

Heinrichs

Abels

‘Improving diesel sound quality on engine level and vehicle level — a holistic approach.’ In Proceedings of the 2007 SAE Noise and Vibration Conference, Chicago, Illinois, USA, 2007, SAE paper 2007–01-2372 (SAE International, Warrendale, Pennsylvania).

Kim

S.-J.

Kim

H.-W.

Lee

S.-K.

‘Impact sound quality analysis of passenger vehicle.’ In Proceedings of the 16th International Congress on Sound and Vibration (ICSV16), Krakow, Poland, 5–9 July 2009.

Lee

S. K.

White

P. R.

‘Application of wavelet analysis to the impact harshness of a vehicle.’

Proc. IMechE, Part C: J. Mechanical Engineering Science 214 (11) (2000): 1331–1338 DOI: 10.1243/0954406001523308.

Zwicker

Fastl

Psychoacoustics: Facts and models, 2nd edition, (Springer, Berlin 1999).

Aures

W. A.

‘The sensory euphony as a function of auditory sensations.’

Acoustica 58 (1985): 282–290

Dillon

W. R.

Goldstein

Multivariate analysis: Methods and applications, (John Wiley, New York 1984)

Lee

S.-K.

Chae

H.-C.

‘The application of artificial neural networks to the characterization of interior noise booming in passenger cars.’

Proc. IMechE, Part D: J. Automobile Engineering 218 (1) (2004): 33–42 DOI: 10.1243/095440704322829146.

Matrn

Neural network design, (PWS Publishing Company, Boston, Massachusetts 1996).

10.

Lee

S.-K.

Kim

T. G.

Lim

J. T.

‘Characterization of an axle-gear whine sound in a sport utility vehicle and its objective evaluation based on synthetic sound technology and an artificial neural network.’

Proc. IMechE, Part D: J. Automobile Engineering 222 (3) (2008): 383–396 DOI: 10.1243/09544070JAUTO563.

11.

Otto

Amman

Eaton

Lake

‘Guidelines for jury evaluations of automotive sounds.’

Sound Vibr. 35 (2001): 24–47