Abstract
To solve the problem of main noise sources of motorcycles running at high speed, especially restoring the free sound field information of the target sound source in the non-free sound field, direct separation method with single holographic surface is proposed. According to the transfer function relationship between the theoretical and the measured sound pressure on the holographic surface based on the wave superposition algorithm, the individual radiation information of the target sound source in the coherent sound field is obtained. Through numerical simulation, it is found that the method could effectively separate the coherent sources. The radiation sound of motorcycles engine speed at 6000 r/min is measured, and the results show that the direct sound field separation method can effectively separate the coherent sound sources and intake noise radiate the higher pressure amplitude.
Highlights
Near-field acoustic holography (NAH) is a spatial sound field visualization technology
After determining the position of the coherent sources, the direct sound field separation method of the single holographic surface is used to separate the coherent sources based on ESM, and the data is reconstructed on the holographic surface
Sound pressure data for motorcycles at 6000 r/min of engine speed, using 18-channel wheel array acquisition, the collected data is analyzed by 1/3 octave filtering, A weighting curve and beamforming source identification method
Summary
Near-field acoustic holography (NAH) is a spatial sound field visualization technology. The spatial Fourier transform method [2] and the statistical optimal near-field acoustic holography (SONAH) are limited by the influence of the shape of the measurement surface [3, 4]. The simulated recombination sensor is used to optimize the configuration distribution, and use the beamforming positioning sound source to expand the sound field separation into an underdetermined problem and solve it by using the compressed sensing technology. The sound pressure of the sound field measured by the single holographic surface is taken as input to separate the sound pressure of target source, and the coherent sound source of a certain motorcycle is separated to determine the main noise source through beamforming source localization
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