可视化噪声源识别技术

李加庆 陈进 张桂才 雷宣扬 薛伟飞
上海交通大学振动、冲击、噪声国家重点实验室,上海200240

摘　要:简要回顾了噪声源识别的传统方法和基于信号处理的方法，阐述了可视化声源识别技术的基本原理，然后利用各种重建算法在三维空间中进行声场重构并将结果用图形表示出来。按噪声信号采集方式、重建算法和结果表示方式对该技术进行了分类。对常用的三类重建算法Fourier方法、Helmholtz—Kirchhoff积分方程法和等效源法进行了详细的比较，重点分析了等效源法，指出它目前存在的研究困难。给出了一种应用可视化噪声源识别技术的系统解决方案。[著者文摘]

关键词:噪声源识别 可视化 Fourier方法 Helmholtz—Kirchhoff积分方程法 等效源法

Visualization for noise sources identificationLI Jia-qing, CHEN Jin, ZHANG Gui-cai, LEI Xuan-yang, XUE Wei-fei State Key Lab of Vibration, Shock and Noise, Shanghai Jiaotong University, Shanghai 200240, ChinaAbstract:The principle of visualization techniques on noise sources identification （NSI） is described after a brief review of some traditional and signal processing based methods. The pressure signal is first acquired using a microphone array, and used to reconstruct the 3-D sound field with some reconstruction algorithms. The reconstructed sound field is then shown graphically so that the main noise sources can be ＂seen＂ with eyes. The techniques are categorized in terms of noise signal acquiring methods, reconstruction algorithms, and display modes. Three commonly used reconstruction methods, the Fourier methods, Helmholtz-Kirchhoff equation based methods, and the equivalent source method, are investigated and compared in detail. Focus is given to the last method with some currently existing difficulties presented. Finally, a solution to the visualization application for NSI is proposed.[著者文摘]

Key words:noise source identification ; Fourier method ; Helmhohz-Kirchhoff equation method;equivalent sources method

关键是传声器的数量