基于SONAH的水平轴风力机风轮噪声源识别

he statistically optimal near-field acoustic holography (SONAH)technique is applied to noise source identification of small horizontal axis wind turbine, in order to make up for the shortcomings of the far field beamforming technique on the accuracy of low frequency sound source identification. Using the 60 channelcircular microphone array from the B&K company for the acquisition and analysis of sound field information in the operation of the horizontal axis wind turbine in different conditions. Study on the analysis method of noise source acoustic contribution when the wind wheel rotates ,based on near field acoustic holography. Analysis of the distribution characteristics of total sound power levels of noise and noise source distribution, which provides direction for optimization design of low noise wind turbine.