Design of new sound metric and its application for quantification of an axle gear whine sound by utilizing artificial neural network

Journal of Mechanical Science and Technology

Volumn 23, Issue 4, 2009, Pages 1182-1193

  Lee, Hyun Hoo ^a   Kim, Sung Jong ^a   Lee, Sang Kwon ^a  

^a Inha University   (South Korea)

Author keywords

Axle whine noise; Neural network; SNR index; Sound quality metric

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AXLE SYSTEMS; GEAR WHINES; GOOD CORRELATIONS; MASKING EFFECT; OBJECTIVE EVALUATION; PSYCHOACOUSTIC PARAMETERS; SIGNAL TO NOISE; SNR INDEX; SOUND METRICS; SOUND PRESSURE LEVEL; SOUND QUALITY; SOUND QUALITY METRIC; SPORT UTILITY VEHICLES; SUBJECTIVE EVALUATIONS;

ACOUSTIC INTENSITY; ACOUSTIC VARIABLES MEASUREMENT; AXLES; BACKPROPAGATION; METRIC SYSTEM; SIGNAL TO NOISE RATIO; WHEELS;

NEURAL NETWORKS;

EID: 65949105912     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-009-0106-0     Document Type: Article

References (20)

1. M. Ishihama, Y. Sakai, I. Katano and K. Nakamura, Effect of Basic Design Parameters of Automotive Engines on Their Sound Characteristics, Proceedings of the 2003 SAE Noise and Vibration Conference, Traverse City, Michigan, USA (2003) SAE2003-01-1507.
2. S. K. Lee P. R. White 1998 The Enhancement of Impulsive Noise and Vibration Signals for Fault Detection in Rotating and Reciprocating Machinery Journal of Sound and Vibration 217 3 485 505 (Pubitemid 128386987)
3. R. Ruhala and C. B. Burroughs, Tire/Pavement Interaction Noise Source Identification Using Multi-Planar Near field Acoustic Holography, Proceedings of the 1999 SAE Noise and Vibration Conference, Traverse City, Michigan, USA (1999) SAE1999-01-1733.
4. M. Blommer, S. Amman, S. Abhyankar and B. Dedeker, Sound Quality Metric Development for Wind Buffeting and Gusting Noise, Proceedings of the 2003 SAE Noise and Vibration Conference, Traverse City, Michigan, USA (2003) SAE2003-01-1509.
5. S. K. Lee, Identification and Reduction of Gear Whine Noise of the Axle System in a Passenger Van, (2005) SAE2005-01-2302.
6. S. B. Becker and S. Yu, Gear Noise Rating Prediction Based on Objective Measurement, (1999) SAE 1999-01-1721.
7. Becker, S. B. and Yu. S., Objective Noise Rating of Gear Whine, (1999) SAE 1999-01-1720.
8. S. K. Lee H. C. Chae 2004 The Application of Artificial Neural Networks to the Characterization of Interior Noise Booming in Passenger Cars Journal of Automobile Engineering 218 1 33 42
9. S. K. Lee B. S. Kim D. C. Park 2005 Objective Evaluation of the Rumbling Sound in Passenger Cars Based on an Artificial Neural Network Journal of Automobile Engineering 219 4 457 469
10. C. M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK, (1995).
11. H. Matrn, Neural Network Design. PWS Publishing Company, Boston, USA, (1996).
12. S. K. Lee, Adaptive Signal Processing and Higher Order Time Frequency Analysis for Acoustic and Vibration Signatures in Condition Monitoring, Ph.D. thesis, ISVR, University of Southampton, (1998).
13. G. H. Herlufsen, H. K. Hansen and H. Vold, Characteristics of the Vold-Kalman Order Tracking Filter. Bruel & Kjaer Technical Review, 1998, 1-50.
14. E. Zwicker and H. Fastl, Psychoacoustics: Facts and Models 2nd Edition, Springer-Verlag, Berlin, Germany, (1999).
15. S. S. Stevens and M. D. Hallowell, Hearing Its Psychology and Physiology, American Institute of Physics, New york, USA, (1983).
16. B. C. J. Moore B. R. Glasberg 1996 A Revision of Zwicker's Loudness Model Acoustica 82 335 345 (Pubitemid 126513309)
17. W. Aures 1985 A Procedure for Calculating Auditory Roughness Acoustica 58 5 268 281
18. V. Bismarck 1974 Sharpness as an Attribute of the Timbre of Steady Sounds Acoustica 30 159 172
19. W. Aures 1985 The Sensory Euphony as a Function of Auditory Sensations Acoustica 58 282 290 (Pubitemid 16472941)
20. W. Aures, Berechnungsverfahren für den Wohlklang belieber Schallsignale, ein Beitrag zur gehörbezogenen Schallanalyse. Dissertation, Ph.D thesis, Munich University, (1994).