Real-Time Pass-by Noise Source Identification Using A Beam-Forming Approach

Crewe, Alun; Perrin, Florent; Vincent, Benoit; Haddad, Karim

doi:10.4271/2003-01-1537

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…The more compelling method of localizing sources has been the application of acoustic beam forming, as described in [1]. Beam forming techniques in a horizontal direction have also been employed in French research specifically on truck sources [2].…”

Section: Noise Mapping Techniquesmentioning

confidence: 99%

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Noise source mapping for trucks, part 1: development and design

Plotkin

Gurovich

Blake

et al. 2008

The Journal of the Acoustical Society of America

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traffic noise modeling and mitigation. The purpose of this study is to develop a practical truck noise source localization technique using acoustic beam-forming. An experimental 70+ microphone elliptical array was designed and fabricated for truck testing. Beam-forming software was developed and implemented using a computerized data acquisition system. Proof-of-concept tests were performed at low-speed and high-speed truck testing facilities for a representative sample of trucks with widely different characteristics to validate the measurement system performance. The measurement system design parameters were verified experimentally, and certain improvements to the system were recommended for future implementation based on the field experience. The developed beam-forming measurement system provided adequate noise mapping and localization for various noise sources on trucks, stationary and moving with the speed up to 50 mph. The results of the proof-of-concept testing presented in an accompanying paper (Part 2) confirm that the developed microphone array, data acquisition system and beam-forming software performed generally as expected and required no major adjustments.

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Section: Noise Mapping Techniquesmentioning

confidence: 99%

“…This method has an advantage over the classical "delay and sum" method, e.g. [1], by providing a better reduction of background contamination over the frequencies of interest. In our case wind noise at microphones could be better reduced by employing a complete two-dimensional CSD matrix for all 70 microphones.…”

Section: Noise Mapping Techniquesmentioning

confidence: 99%

Noise source mapping for trucks, part 1: development and design

Plotkin

Gurovich

Blake

et al. 2008

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

“…[20], the pass-by of a car is measured with an array to demonstrate the ability to map sound sources accurately on mobile vehicles, even at high speeds. A constant speed pass-by test at 160 km/h, band-passed between 2 kHz and 4 kHz, indicates the predominance of tyre/road contact noise at that speed.…”

Section: Introductionmentioning

confidence: 99%

Noise source identification with Beamforming in the pass-by of a car

et al. 2015

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“…In [Crewe et al, 2002] the pass-by of a car is measured with an array to demonstrate the ability to map sound sources accurately on mobile vehicles, even at high speeds. A 64-channel 2 x 2 m square frame antenna with irregular meshing was used.…”

Section: Beamforming Applicationsmentioning

confidence: 99%

Using array based techniques for noise source identification in cars

Garrido¹

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One of the most important noise causes in our cities is the traffic. The noise generated by the vehicles is not only due to the engine, but there are some other noise sources. Among them the tyre/road noise can be highlighted.Coherence and array based techniques have been used in some research to locate the noise causes and identify the main noise sources. Nevertheless, it is not usual in the literature to find the application of this kind of techniques in the car sector. This Thesis starts taking into account the possibility of using this kind of measurement techniques in cars, to demonstrate their feasability and their quality to evaluate the noise sources under two different conditions: when the car is stopped and when it is in movement.Selective Intensity was chosen as coherence technique, evaluating the coherence between the noise in the driver's ears and the intensity radiated in different points of the engine.Array based techniques carry out the best results to noise source location. Statistically Optimized Near-field Acoustical Holography (SONAH) is the measurement technique chosen for noise source location and characterization in the engine at low frequency. On the other hand, Beamforming is the technique chosen in the case of medium-high frequency and to characterize the noise sources when the car is in movement.The proposed techniques not only can be used in actual measurements, but also provide a lot of information and are very versatile to noise source characterization.

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Real-Time Pass-by Noise Source Identification Using A Beam-Forming Approach

Cited by 7 publications

References 1 publication

Noise source mapping for trucks, part 1: development and design

Noise source mapping for trucks, part 1: development and design

Noise source identification with Beamforming in the pass-by of a car

Using array based techniques for noise source identification in cars

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