文档介绍：基于神经网络声全息方法对运动噪声源识别的研究
高印寒1,梁杰 1,钱鸣佳2
(,吉林省长春市 130022;)
摘要:采用声全息方法对运动噪声源进行识别是近年来新兴的噪声研究技术,声全息法是通过对测量信号进行多普勒效应的消除后,运用合适的声场重建公式,对声源面的声场信息进行重建,从而达到识别运动噪声源的目的。针对一般重建算法速度慢、误差大的缺点,提出了基于神经网络的声场重建算法,并通过仿真与实验,证明了该方法用于运动噪声源识别的准确性与可行性。
关键词:声全息运动声源识别神经网络多普勒效应
中图分类号: 文献标识码:A 文章编号:1671-0924 (2007) xx-xxxx-x
Study on Moving Noise Source Identification based on
Acoustic Holography of work
GAO Yin-han1, LIANG Jie1, QIAN Ming-jia2
( of Test Science, Jilin University, Changchun130022,China; of Instrumentation & Electrical
Engineering, Jilin University, Changchun130022,China)
Abstract: Acoustic holography field transformation technology measures the pressure of holographic surface which is surrounded by the holographic measurements plane, then use the relation of the space between the surface acoustic pressure and transform hologram to get the real pressure of the surface acoustic source. Considering disadvantages mon sound holography reconstruction algorithm, proposed a new acoustical holography method which is based on work, to realize the reconstruction algorithm. Numerical simulation and practical application all verify that acoustic holography method can identify moving noise source availability and reliability.
Keywords: moving noise source identification acoustic holography work doppler effect
0引言
在现实生活中,噪声绝大多数以运动噪声的形