摘要
本文提出利用声场空间变换技术进行噪声源的分离与识别．在微机上实现了ＮＡＨ与ＢＡＨＩＭ编程，数值结果表明，当测量面上的声压或声强分布无法对噪声源正确定位和识别的情况下，声场空间变换技术能很好的解决这一问题．水下声源的ＮＡＨ与ＢＡＨＩＭ实验结果也表明该技术是水下噪声源识别与分析的一种有效方法．
The Spatial Transformation of Sound Field(STSF) is applied to noise source separation and identification in this paper. The numerical simulation for the NAH(Near Field Acoustic Holography) and BAHIM (Broadband Acoustic Holography based on Intensity Measurement) has been taken. The result show that when the proper location and discernment of noise sources can't be given by pressure or intensity distribution at the measurement surface, the STSF can solve the problem well. The experiment of the NAH and BAHIM for underwater noise source demonstrate that the STSF is particularly suitable for the study of noise source.
出处
《应用声学》
CSCD
北大核心
2000年第2期9-13,30,共6页
Journal of Applied Acoustics
关键词
声场空间变换
噪声源识别
声强测量
水下噪声源
Field spatial transformation, Noise source identification, Intensity measurement
