Noise source identification method

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 a 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 include (1) sound source identification technology based on spatial Fourier transform. Williams et al. established a sound source identification method based on the Fourier transform of planar and cylindrical spaces. Lee et al. extended this method to the spherical coordinate system and established an acoustic recognition method based on spherical spatial sound field transformation. Unlike the planar and cylindrical sound field transformations, the spherical NAH cannot be calculated by fast Fourier transform (FFT). This type of noise source ident...

AI Technical Summary

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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