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Noise source recognizing method

An identification method and noise source technology, applied in the field of noise source identification, can solve the problems of high cost, low computational efficiency and accuracy

Inactive Publication Date: 2014-04-16
GUANGXI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] The present invention aims to provide a noise source identification method, which overcomes the defects of high cost, low calculation efficiency and precision in the prior art, and uses the Fourier wave superposition method combined with continuous distribution equivalent source and fast FFT algorithm to calculate the integral , with high calculation accuracy and stability

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Embodiment 1

[0066] Such as figure 1 As shown, the steps of the noise source identification method using vibration velocity measurement and Fourier wave superposition method in this embodiment are as follows:

[0067] A. Set up a measurement surface in the measurement sound field, and set a particle vibration velocity sensor on the measurement surface in a grid format. The particle vibration velocity sensor measures the particle vibration velocity in the normal direction of the measurement surface;

[0068] B. Set the virtual source surface inside the sound source, and set the equivalent source continuously distributed on the virtual source surface, and set the equivalent source as a monopole sound source;

[0069] C. Using the wave superposition method, establish the transfer relationship between the equivalent source and the particle vibration velocity in the normal direction of the measurement surface, calculate the equivalent source strength function, and obtain the source strength expansion c...

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Abstract

The invention aims to provide a noise source recognizing method. The noise source recognizing method comprises the steps that (A) a measurement surface is arranged in a measurement sound field, and mass point vibration velocity sensors are evenly arranged on the measurement surface and are used for measuring the vibration velocity of normal mass points on the measurement surface; (B) a virtual source surface is arranged inside a sound source, and equivalent sources are distributed continuously on the virtual source surface, wherein the equivalent sources are monopole sound sources; (C) the transitive relation between the equivalent sources and the vibration velocity of normal mass points on the measurement surface is established; (D) the transitive relation between the sound pressure and the normal vibration velocity on the equivalent sources and the sound source surface is established; (E) a sound pressure value of a reconstructed surface is solved according to the transitive relation. The noise source recognizing method overcomes the defects that the technical cost is high, the calculating efficiency is low, and the precision is low in the prior art, an integral is calculated through combination of a superposition method based on Fourier waves , the equivalent sources which are distributed continuously and the FFT algorithm, the calculation accuracy is high, and the stability is high.

Description

Technical field [0001] The invention relates to the field of noise source identification methods, in particular to a noise source identification method using vibration velocity measurement and Fourier wave superposition method. Background technique [0002] Near-field acoustic holography is an effective sound source identification technology. The existing noise source identification methods based on near-field acoustic holography technology include (1) Sound source identification technology based on spatial Fourier transform. Williams et al. established a sound source recognition method based on the Fourier transform of planar and cylindrical spaces. Lee et al. extended this method to the spherical coordinate system and established a sound recognition method based on spherical spatial sound field transformation. When it is different from planar and cylindrical sound field transformations, spherical NAH cannot be calculated by means of fast Fourier transform (FFT). This type of n...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H17/00
Inventor 李晓妮向宇王玉江陆静袁莉芸
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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