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基于波叠加的噪声源识别方法
引用本文:李加庆,陈进,张桂才,陈少林,刘先锋.基于波叠加的噪声源识别方法[J].上海交通大学学报,2006,40(1):124-128.
作者姓名:李加庆  陈进  张桂才  陈少林  刘先锋
作者单位:1. 上海交通大学,振动、冲击、噪声国家重点实验室,上海,200240
2. 南京航空航天大学,航空宇航学院,南京,210016
基金项目:国家自然科学基金重点资助项目(50335030),日本Fujitec公司资助项目
摘    要:将波叠加方法引入了噪声源识别领域,结合基于传声器阵列的测量技术和可视化的结果表示方法,提出了一种新的噪声源识别方法,并通过仿真和实验验证了该方法的正确性.根据波叠加方法的原理,声源产生的空间声场可以用其内部的一系列虚源点来等效代替,而虚源源强可以通过匹配场点的声压来获得,进而由这些虚源重构任意场点的各种声学量.声压可通过阵列测量技术获得,计算结果可显示成等高线图、矢量图或动画,便于直观地判别出声源的位置、大小、传播路径.仿真和实验都取得了良好的分辨效果,表明该方法可对任意形状物体进行噪声源识别.

关 键 词:噪声源识别  波叠加  声阵列测量  正则化
文章编号:1006-2467(2006)01-0124-05
收稿时间:2005-03-28
修稿时间:2005年3月28日

A Noise Source Identification Technique Based on Wave Superposition Method
LI Jia-qing,CHEN Jin,ZHANG Gui-cai,CHEN Shao-lin,LIU Xian-feng.A Noise Source Identification Technique Based on Wave Superposition Method[J].Journal of Shanghai Jiaotong University,2006,40(1):124-128.
Authors:LI Jia-qing  CHEN Jin  ZHANG Gui-cai  CHEN Shao-lin  LIU Xian-feng
Institution:1. State Key Lab. of Vibration, Shock and Noise, Shanghai Jiaotong Univ. , Shanghai 200240, China; 2. College of Aerospace Eng. , Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016
Abstract:An efficient technique on NSI(Noise source identification) field based on the WSM(Wave superposition method) was proposed.The WSM,accompanied with microphone-array measurement technique and visualization of the results,provides a wonderful resolution in NSI field.According to the theory of the WSM,the total acoustic field radiated by an arbitrary-shaped noise radiator can be substituted by a serial of virtual source points.These point sources locate on a surface interior to the body of a radiator,and their strengths can be evaluated in terms of a pressure measurement on another surface.Once calculated,the strengths of these point sources allow the pressure(and intensity,instantaneous point velocity,etc.) distribution exterior to the radiator to be calculated.The pressure is measured with an microphone array,and the final results are visualized in terms of pressure contours and instantaneous point velocity animations,etc.With these visualized maps and animations,the main noise sources can be easily located and quantified,also the noise transmission path can be found.Through simulations and experiments,the validity and efficiency of this technique were tested.
Keywords:noise source identification  wave superposition method  microphone-array measurement technique  regularization  normalization
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