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

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Volumn 218, Issue 1, 2004, Pages 33-42

  Lee, S K ^a   Chae, H C ^b  

^a Inha University   (South Korea)

^b Hyundai Motor Co   (South Korea)

Author keywords

Artificial neural network; Booming index; Sound metrics

Indexed keywords

NATURAL FREQUENCIES; NEURAL NETWORKS; NOISE POLLUTION CONTROL; SIGNAL DETECTION; SIGNAL FILTERING AND PREDICTION; VECTORS;

BOOMING INDEX; LOUDNESS TESTING; PSYCHOACOUSTICS; SOUND METRICS;

PASSENGER CARS;

EID: 8644291600     PISSN: 09544070     EISSN: None     Source Type: Journal    
DOI: 10.1243/095440704322829146     Document Type: Conference Paper

References (19)

1. Fahy, F. and Walker, J. Fundamentals of Noise and Vibration, 1998 (S & FN Spon, London).
2. Matsuyama, S. and Maruyama, S. Booming noise analysis method based on acoustic excitation test. In The SAE 1998 World Congress and Exhibition, Detroit, Michigan, 1998, SAE paper 980588 (Society of Automotive Engineers, Warrendale, Pennsylvania).
3. Hatano, S. and Hashimoto, T. Booming index as a measure for evaluating booming sensation. In Proceedings of Inter-Noise 2000, Nice, France, 2000, CD-ROM Reference 000233.
4. Lee, S. K. Vibrational power flow and its application to a passenger car for identification of vibration transmission path. In Proceedings of the 2001 SAE Noise and Vibration Conference, Traverse City, Michigan, 2001, SAE paper 2001-01-1451 (Society of Automotive Engineers, Warrendale, Pennsylvania).
5. Zwicker, E. and Fastl, H. Psychoacoustics: Facts and Models, 2nd edition, 1999 (Springer-Verlag, Berlin).
6. Lee, S. K., Chae, H. C., Park, D. C. and Jung, S. G. Sound quality index development for the booming noise of automotive sound using artificial neural network information theory. In Sound Quality Symposium 2002, Dearborn, Michigan, 2002, CD No. 5.
7. Murata, H., Tanaka, H., Takada, H. and Ohsasa, Y. Sound quality evaluation of passenger vehicle interior noise. In Proceedings of the 1993 SAE Noise and Vibration Conference, Traverse City, Michigan, 1993, SAE paper 931347 (Society of Automotive Engineers, Warrendale, Pennsylvania).
8. Bishop, C. M. Neural Networks for Pattern Recognition, 1995 (Oxford University Press).
9. Matrn, H. Neural Network Design, 1996 (PWS Publishing Company, Boston, Massachusetts).
10. Waszczyszyn, Z. and Ziemianski, L. Neural networks in mechanics of structures and materials - new results and prospects of applications. Computers and Structs, 2001, 79, 2261-2276.
11. Lee, S. K. Adaptive signal processing and higher order time frequency analysis for acoustic and vibration signatures in condition monitoring. PhD thesis, ISVR, University of Southampton, 1998.
12. Herlufsen, G. H., Hansen, H. K. and Void, H. Characteristics of the Vold-Kalman order tracking filter. Bruel and Kjaer Tech. Rev., 1998, 1-50.
13. Lee, S. K. and White, P. R. The enhancement of impulsive noise and vibration signals for fault detection in rotating and reciprocating machinery. J. Sound Vibr., 1998, 217(3), 485-505.
14. Stevens, S. S. Perceived level of noise by MarkII and decibels. J. Acoust. Soc. Am., 1971, 51, 575-601.
15. Moore, B. C. J. and Glasberg, B. R. A revision of Zwicker's loudness model. Acoustica, 1996, 82, 335-345.
16. Bismarck, V. Sharpness as an attribute of the timbre of steady sounds. Acoustica, 1974, 30, 159-172.
17. Aures, W. The sensory euphony as a function of auditory sensations. Acoustica, 1985, 58, 282-290.
18. Aures, W. A procedure for calculating auditory roughness. Acoustica, 1985, 58, 268-281.
19. Laux, P. C. Using artificial neural networks to model the human annoyance to sound. PhD thesis, School of Mechanical Engineering, Purdue University, Lafayette, Indiana, 1998.