噪声与振动控制

›› 2011, Vol. 31 ›› Issue (4): 145-148.DOI: 10.3969/j.issn.1006-1355-2011.04.034

• 6.信号处理与故障诊断 • 上一篇    下一篇

除自谱的互谱矩阵波束形成的噪声源识别技术

杨洋1,褚志刚2,倪计民1,王卫东3   

  1. ( 1. 同济大学 汽车学院， 上海 201804； 2. 重庆大学 机械工程学院， 重庆 400044；3.东风商用车技术中心， 湖北 十堰 442000 ）
  • 收稿日期:2010-12-07 修回日期:2010-12-27 出版日期:2011-08-18 发布日期:2011-08-18
  • 通讯作者: 杨洋

Research on Algorithm of Sound Source Identification Based on Cross-spectral Beamforming with Exclusion of Autospectra

YANG Yang 1，CHU Zhi-gang 2，NI Ji-min 1，WANG Wei-dong 3   

  1. (1. Automotive College of Tongji University, Shanghai 201804, China； 2. College of Mechanical Engineering, Chongqing University， Chongqing 400044， China；3.Technical Center of Dongfeng Commercial Vehicle Manufactory, Shiyan 442000, Hubei China )
  • Received:2010-12-07 Revised:2010-12-27 Online:2011-08-18 Published:2011-08-18

摘要： 由于传声器阵列具有自噪声的干扰，在各通道的互谱距阵中，消除对角自谱元素的波束形成，可以提高声源识别的精度。由此，建立相应的声源识别算法和平面声源的成像软件。并对某发动机在额定工况下的噪声源识别进行验证。结果表明：发动机前端噪声来源于空气压缩机排气出口和曲轴传动皮带轮的上方机体辐射；左右两侧噪声来源于发动机缸体和油底壳辐射。由此表明涉及的算法与成像软件的正确与有效性能。

关键词: 声学, 互谱矩阵波束形成, 声源识别算法, 验证算例, 发动机噪声源识别

Abstract: The principle of cross-spectral beamforming with exclusion of autospectra is analyzed based on spherical wave assumption. The result shows that the interference from the self-noise in each microphone channel is suppressed and the accuracy of sound source identification is improved by excluding the auto-spectral elements from the cross-spectral matrix. Furthermore, the algorithm of sound source identification is designed and the corresponding sound source imaging software is developed. The sources in the source plane are identified accurately. Additionally, the correctness of the designed algorithm and practical applicability of the developed software are tested and verified by an example. Based on this, the noise sound source identification test of an engine on a bench is made under the rated speed condition. The result shows that the noise at the engine head is mainly from the radiation noise of the air compressor exhaust outlet and the engine body at the upper left of the crankshaft pulley, and the noises of the left side and the right side of the engine are both mainly from the radiation noise of the engine block and the oil pan.

Key words: acoustics, cross-spectral beamforming, algorithm of sound source identification, verifiable example, noise sound source identification of an engine

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