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A Perception-Based Method for the Noise Control of Construction Machines

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Języki publikacji
EN
Abstrakty
EN
During operation, construction machines generate high noise levels which can adversely affect the health and the job performance of operators. The noise control techniques currently applied to reduce the noise transmitted into the operator cab are all based on the decrease of the sound pressure level. Merely reducing this noise parameter may be suitable for the compliance with the legislative requirements but, unfortunately, it is not sufficient to improve the subjective human response to noise. The absolute necessity to guarantee comfortable and safe conditions for workers, requires a change of perspective and the identification of different noise control criteria able to combine the reduction of noise levels with that of psychophysical descriptors representing those noise attributes related to the subjective acoustical discomfort. This paper presents the results of a study concerning the “customization” of a methodology based on Sound Quality for the noise control of construction machines. The purpose is to define new hearing-related criteria for the noise control able to guarantee not only reduced noise levels at the operator position but also a reduced annoyance perception.
Rocznik
Strony
253--258
Opis fizyczny
Bibliogr. 12 poz., fot., rys., wykr.
Twórcy
autor
  • IMAMOTER-National Research Council of Italy Ferrara, Italy
Bibliografia
  • 1. Bregant L., Miccoli G., Pediroda V., Seppi M. (2006), MOGA & MOGT Strategies Comparison for a Cab Vibro-acoustic Optimization, Proceedings Mode- FRONTIER Users’ Meeting, pp. 28-29, Trieste, Italy.
  • 2. Carletti E. (2006), Outdoor Equipment: Current situation on noise emissions and strategies for control, Noise/News International Magazine, 14, 4, 145-155.
  • 3. Carletti E., Pedrielli F. (2009), Subjective Evaluation of a Simple Active Noise Control System Mounted inside an EMM Cab, NCEJ, 57, 6, 595-602.
  • 4. Carletti E., Pedrielli F. (2010), Acoustic Optimisation at Workplaces based on Sound Quality: the Case of Stationary Signals, Proceedings of Inter Noise 2010, pp. 1-4, Lisbon, Portugal.
  • 5. Carletti E., Pedrielli F. (2011), Acoustic Optimisation at Workplaces based on Sound Quality: the Case of time-varying noise signals, Proceedings of ICSV18, pp.1-8, Rio de Janeiro, Brazil (on CDRom).
  • 6. DIN 45631/A1 (2009), Calculation of loudness level and loudness from the sound spectrum – Zwicker method - Amendment 1: Calculation of the loudness of time-variant sound, Germany.
  • 7. Genuit K. (1999), The Use of Psichoacoustic Parameters combined with A-weighted SPL in Noise Description, Proceedings of InterNoise99, pp. 1887-1892, Fort Lauderdale, FI USA.
  • 8. Khan M.S, Dickson C. (2002), Evaluation of sound quality of wheel loaders using a human subject for binaural recordings, NCEJ, 50, 4, 117-126.
  • 9. Kim G.S., Lauchle G.C., Brungart T.A. (2007), Prediction of Diesel Engine Cooling Fan Noise, Proceedings of Noise-Con07 Conference, pp. 1-8, Reno, Nevada, USA (on CDRom).
  • 10. Mucchi E. (2007), Dynamic analysis of external gear pumps by means of non linear models and experimental techniques, Ph.D. Thesis, Engineering Department of Ferrara University, Ferrara, Italy.
  • 11. Pedrielli F., Carletti E. (2008), Just Noticeable Differences of Loudness and Sharpness for Earth Moving Machines, Proceedings of Acoustics’08 Conference, pp. 1-5, Paris, France.
  • 12. Willemsena A.M., Poradekb F., Raoc M.D. (2009), Reduction of noise in an excavator cabin using order tracking and ultrasonic leak detection, NCEJ, 57, 5, 400-412.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-28d3e64e-7f40-429e-9e08-345bc59563ff
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