Localization of Truck Noise Sources under Passby Conditions Using Acoustic Beamforming Methods

Donavan, Paul R.; Rymer, Bruce; Blake, William K.

doi:10.4271/2009-01-2232

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…Where r is the air density, c is the sound velocity, and k is the wave number. r m is the vector of the m-th microphone position, r n is the vector of the nth equivalent element position, and g(r m , r n ) is the Green function: (2) In practice, a large number of equivalent elements are arranged inside the actual sound sources to obtain the detail or local information of sound sources. Therefore, the number of the equivalent elements is higher than the available measurements, i.e.…”

Section: Basic Theories 21 Nah Based On Equivalent Source Methodsmentioning

confidence: 99%

“…The acoustic field inverse problem can be solved quickly and efficiently to achieve sound field reconstruction and noise source identification by microphone array technology [1][2][3][4] . At present, a variety of algorithms have been used to solve the acoustic inverse problem, such as: Beamforming [5][6][7] , NAH [8,9] , statistically optimized near-field acoustical holography (SONAH) [10][11][12] , inverse boundary element method (IBEM) [13,14] , Helmholtz equation-least squares (HELS) [15,16] , Bayesian approach [17,18] and ESM [19,20] .…”

Section: Introductionmentioning

confidence: 99%

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Application of Bayesian Regularization Criterion in near Field Acoustic Holography Based on Equivalent Source Method

Chu

Ping

Cai

et al. 2015

Noise & Vibration Worldwide

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In order to choose an optimal regularization parameter for near field acoustic holography (NAH) based on equivalent source method (ESM), Bayesian regularization criterion method was introduced to solve the inverse problem. Comparison simulations were conducted with generalized cross validation method (GCV), L-curve method and Hald regularization formula method at various sound source frequencies, hologram distances, and Signal-to-Noise Ratios (SNR). The results show that GCV, L-curve, and Hald regularization formula method cannot achieve the optimal regularization parameter at large hologram distances, high noise levels, high frequencies and input SNR errors. However, Bayesian regularization criterion method is not affected by these restrictions and has excellent reconstruction performance in wide frequency band. Further experiment validates the correctness and effectiveness of the application of Bayesian regularization criterion method in ESM-based NAH, thus providing a new guidance for the solving of inverse problem in ESM-based NAH.

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Section: Basic Theories 21 Nah Based On Equivalent Source Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Bayesian Regularization Criterion in near Field Acoustic Holography Based on Equivalent Source Method

Chu

Ping

Cai

et al. 2015

Noise & Vibration Worldwide

View full text Add to dashboard Cite

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“…In order to distinguish the location and radiation performance of each kind of noise source, it is necessary to identify the noise source of the three-pulley drive system by the sound array technology, which include beamforming and near-field acoustic holography (NAH). [17][18][19][20][21] When the distance from the sound source to the sound pressure sensor satisfies equation (3), the attenuation of the sound signal to the sound pressure sensor needs to be considered, that is, the nearfield acoustic holographic model is needed to describe the propagation of sound signal. The technology NAH is divided into plane NAH, cylindrical NAH and spherical NAH, plane NAH is used to calculate and measure sound sources in this paper…”

Section: Principle Of Sound Array Technologymentioning

confidence: 99%

Noise source identification of three pulleys and one belt drive system based on sound array technology

Shi

Tianxiang

Chen

et al. 2020

Measurement and Control

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This paper analyzed the noise distribution of three pulleys and one belt system theoretically and experimentally. Aiming at the influence of the tensioner on the transmission noise of the synchronous belt, on the premise of theoretical analysis of the influence of the tensioner on the transmission noise of the synchronous belt, the noise test of the synchronous belt transmission system with and without the tensioner was carried out under the same experimental conditions. Based on the principle of acoustic array measurement, a three-pulley and one belt noise test device was designed. The noise pressure distribution nephogram and amplitude–frequency characteristic curve were obtained by noise tests at different speeds. Through the comparison of the results of two groups of tests, the influence rule of the tensioner on the transmission noise of the synchronous belt was obtained. The results show that the tensioner can effectively avoid the resonance of the synchronous belt, and the noise amplitude of the three-pulley and one belt drive system is 3 dB higher after the tensioner is installed. It provides a basis for vibration and noise reduction of the engine timing transmission system.

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Localization of Truck Noise Sources under Passby Conditions Using Acoustic Beamforming Methods

Cited by 2 publications

References 4 publications

Application of Bayesian Regularization Criterion in near Field Acoustic Holography Based on Equivalent Source Method

Application of Bayesian Regularization Criterion in near Field Acoustic Holography Based on Equivalent Source Method

Noise source identification of three pulleys and one belt drive system based on sound array technology

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