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Heavy Vehicles Pass-by Noise Beamforming using Generalized Inverse Method and an Optimized Array
Technical Paper
2013-36-0469
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Due to increasingly stringent laws regarding the level of noise emitted by motor vehicles, especially when it comes from trucks, many techniques are used to determine the main source of noise. Levels must meet the standard pass-by noise as provided by the standard ISOR362.
This work applies a technique that aims to identify the main source of noise of heavy vehicles during the pass-by noise test, called Pass-by Noise Beamforming. The technique use the method known as Generalized Inverse and an array of microphones optimized for low frequencies. The paper presents the steps of validation of the system using loudspeakers and application in two trucks with distinct contributions (engine and tire noise).
The results of the technique showed advantages compared to the conventional method (delay-and-sum algorithm), obtaining better separation of coherent sources with better dynamic range in a wide frequency range (50 Hz - 7 kHz).
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Authors
- Paulo Alexandre Galarce Zavala - Department of Computational Mechanics, Faculty of Mechanical
- José Roberto de França Arruda - Department of Computational Mechanics, Faculty of Mechanical
- Fábio Gimenes Bueno - Mercedes-Benz do Brasil, TPT - Trucks Division
- Gaetano Miranda - Mercedes-Benz do Brasil, TPT - Trucks Division
- Waldir Mothio - Mercedes-Benz do Brasil, TPT - Trucks Division
- Camilo Abduch Adas - Mercedes-Benz do Brasil, TPT - Trucks Division
Citation
Zavala, P., Arruda, J., Bueno, F., Miranda, G. et al., "Heavy Vehicles Pass-by Noise Beamforming using Generalized Inverse Method and an Optimized Array," SAE Technical Paper 2013-36-0469, 2013, https://doi.org/10.4271/2013-36-0469.Also In
References
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- Suzuki T. Noise sources of subsonic round jets investigated using phased microphone arrays 16th AIAA/CEAS Aeroacoustics Conference (31st AIAA Aeroacoustics Conference) , 2010-3958 2010
- Zavala P. A. G. Aeroacoustic Source and Moving Source Identification PhD Thesis at the Mechanical Engineering Faculty from UNICAMP 2012
- Morse P.M. , Ingard K.U. Theoretical Acoustics McGraw-Hill 1968