›› 2011, Vol. 31 ›› Issue (2): 163-169.DOI: 10.3969/j.issn.1006-1355-2011.02.039

• 9.振动噪声测试技术 • 上一篇    下一篇

传声器阵列反方法及其对飞机噪声源识别

马军会,乔渭阳,谭洪川,赵磊   

  1. ( 西北工业大学 动力与能源学院, 西安 710072 )
  • 收稿日期:2010-05-27 修回日期:2010-07-09 出版日期:2011-04-18 发布日期:2011-04-18
  • 通讯作者: 马军会

Inverse Method of Microphone Array and Aircraft Noise Source Identification

MA Jun-huiQIAO Wei-yangTAN Hong-chuanZHAO Lei   

  1. ( School of Power and Energy, Northwestern Polytechnical University, Xi’an 710072, China )
  • Received:2010-05-27 Revised:2010-07-09 Online:2011-04-18 Published:2011-04-18
  • Contact: MA Jun-Hui

摘要: 为了完善飞机气动噪声源识别测量技术,并认识当代大型客机气动噪声源的基本特征,改进噪声源识别的大型平面传声器阵列。该阵列由104个传声器组成,104个传声器在平面中的位置通过计算机优化设计的方法确定。并用数值模拟的方法检验平面传声器阵列的频谱特性。应用此阵列在西安咸阳国际机场对近20个架次的进场着陆飞机噪声源进行试验测量。通过实验验证传声器阵列技术和传声器阵列数据处理软件。

关键词: 声学, 传声器阵列, 气动噪声, 噪声测量, 频谱特性, 数据处理

Abstract: In order to develop and improve the technique of identification and measurement of aircraft noise source, and to understand the essential properties of the noise source deeply, a large planar microphone array for the landing process of large civil aircraft has been developed. This plane array is composed by 104 microphones whose positions in the plane are determined by the computer aided optimization design. Meanwhile, the spectrum characteristics of the array have been tested by means of numerical simulation. The plane array has been used to measure the noise sources of 20 landing aircrafts in the Xi’an Xianyang International Airport. In the experiment, a noise source identification and measurement system for large civil aircraft has been built and developed, and the microphone array technique and its data processing software also have been verified.

Key words: acoustics, microphone array, aerodynamic noise, noise measurement, spectrum characteristic, data processing

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