Research On Separating Method Of Sound Power Spectrum Of Multi-sound Sources Of Rotating Machinery Based On Sound Intensity Vector Decomposition

The identification and separation of sound sources are the prerequisites for controlling the noise of industrial machinery and equipment.The operation of industrial machinery and equipment is often accompanied by a lot of noise,and the noise contains a wealth of information about the status of equipment parts.If the intensity of each sound source inside the machine can be separated from the mixed noise,it is of great significance for noise reduction and condition monitoring of equipment through noise.The sound source in rotating machinery is mainly various rotating parts.Due to the transmission relationship,the noise signal usually contains the same frequency components.Therefore,noise identification and separation methods are required to accurately separate the intensity of sound sources containing the same frequency components.In this case,there are few methods that can effectively separate the spectral intensity of each noise source.Sound intensity testing technology has significant advantages in the field of noise source identification and separation,and can identify and separate noise sources in the far field and near field.This article uses the vector characteristics of sound intensity,which has the advantage of not being interfered by the same frequency components in the sound source,and can accurately and effectively separate the sound sources with the same frequency components in the rotating machinery.Based on the vector characteristics of sound intensity,based on the principle of three-dimensional sound intensity measurement,this paper aims to separate the sound power frequency spectrum of multiple sound sources containing the same frequency components,and proposes a multi-sound based on three-dimensional sound intensity vector decomposition.Source sound power frequency spectrum separation method.This method uses the radiation relationship between the three-dimensional sound intensity vector and the sound power of the sound source to accurately obtain the intensity of the noise source and realize the separation of the sound power spectrum of multiple noise sources.This article first points out the research background and significance of the multisound source spectrum separation method based on the three-dimensional sound intensity vector decomposition,and expounds the research status of the sound source identification and separation technology at home and abroad.Secondly,the related algorithms of sound intensity measurement are studied,and the principle of sound intensity measurement and related technologies are introduced.Thirdly,based on the sound intensity measurement method of dual microphones,the principle of threedimensional sound intensity measurement of four microphones is elaborated in detail.A special three-dimensional sound intensity probe based on the principle of threedimensional sound intensity measurement is introduced.Fourth,based on the principle of three-dimensional sound intensity measurement,a multi-sound source spectrum separation method based on vector decomposition of sound intensity is proposed,and a particle swarm optimization algorithm is introduced into the method.Fifth,the feasibility and accuracy of the multi-sound source spectrum separation method are verified through simulation analysis and experiments.The multi-sound source sound power frequency spectrum separation method based on three-dimensional sound intensity vector decomposition proposed in this paper uses the vector characteristics of sound intensity to accurately and effectively separate each sound source for sound sources with the same frequency components in rotating machinery.Strength of.This method provides a new method for noise-based noise reduction and condition monitoring of rotating machinery equipment.