期刊文献+

基于压缩感知的旋转声源多普勒效应消除方法

Doppler effect elimination method of rotating sound source based on compressed sensing
下载PDF
导出
摘要 消除旋转声源的多普勒效应是监测旋转机械工作状态和定位旋转声源的前提。当前用于消除旋转声源多普勒效应的方法分为频域和时域两种,但是这两种方法都需要在周向均匀布置大量传声器,这不仅增加了测量成本,而且增加了测量工作量。针对上述问题提出了一种基于压缩感知的多普勒效应消除方法,该方法通过在周向随机布置少量传声器完成周向模态幅值的重构,并根据静止柱坐标系与随声源同步旋转的旋转柱坐标系之间的相对运动关系完成多普勒效应的消除。数值仿真和试验研究都表明采用较少传声器随机布置的方法同基于采样定理均匀布置传声器的方法在消除多普勒效应的效果上基本一致,且所提方法可有效降低测量成本和测量工作量。 Eliminating Doppler effect of rotating sound source is the premise of monitoring working state of rotating machinery and locating rotating sound source.At present,methods to eliminate Doppler effect of rotating sound source are divided into two kinds in frequency domain and in time domain,but both of them need to uniformly arrange a large number of microphones around sound source,this increases not only measurement cost but also measurement workload.Here,to solve the above problems,a Doppler effect elimination method based on compressed sensing was proposed.This method could complete reconstruction of circumferential modal amplitudes with randomly arranging a small number of microphones in circumferential directions,and eliminate Doppler effect according to relative motion relations between a static cylindrical coordinate system and a cylindrical coordinate system rotating synchronously with sound source.Numerical simulation and test study showed that the method of random arrangement of fewer microphones is basically consistent with the method of uniform arrangement of microphones based on sampling theorem in eliminating Doppler effect;the proposed method can effectively reduce measurement cost and workload.
作者 张小正 李银龙 张永斌 毕传兴 ZHANG Xiaozheng;LI Yinlong;ZHANG Yongbin;BI Chuanxing(Institute of Sound and Vibration Engineering,Hefei University of Technology,Hefei 230009,China)
出处 《振动与冲击》 EI CSCD 北大核心 2022年第11期245-251,共7页 Journal of Vibration and Shock
基金 国家自然科学基金面上项目(51875147)。
关键词 旋转声源 多普勒效应 压缩感知 rotating sound source Doppler effect compressed sensing
  • 相关文献

参考文献5

二级参考文献32

  • 1陈永倩,顾建峰,肖先赐.用禁忌搜索实现DOA估计[J].电波科学学报,2005,20(1):55-58. 被引量:1
  • 2邓兆祥,李景渊,褚志刚,许响林,胡成太.SC6360B车外加速噪声的控制[J].重庆大学学报(自然科学版),2005,28(4):5-9. 被引量:10
  • 3贾民平,杨建文.滚动轴承振动的周期平稳性分析及故障诊断[J].机械工程学报,2007,43(1):144-146. 被引量:13
  • 4Hald J. An integrated NAI-I/Beamforming solution for efficient broadband noise source location [ C 1- SAE - 2005 - 01 - 2537.
  • 5Washburn K B, Frazer T, Kunio J. Correlating noise sourcesidentified by beamforming with sound power measurements [C]. SAE,2005-01-2510.
  • 6Moebs G B. De-Dopplerization and visualization of sound fields emitted by moving noise sources [ D]. School of Mechanical Engineering, Purdue University, 1997.
  • 7Kook H, Davies P, Bolton J S. Statistical properties of random sparse arrays [ J ]. Journal of Sound and Vibration, 2002, 255(5) : 819 -848.
  • 8Donavan P R, Rymer B, Blake W. Localization of truck noise sources under passby conditions using acoustic beamforming methods [ J ]. SAE International Journal of Commercial Vehicles, 2009,2( 1 ) : 128 - 137.
  • 9Kook H, Moebs G B, Davies P, et al. Efficient procedure for visualizing the sound field radiated by vehicles during standardized passby tests[ J]. Journal of Sound and Vibration, 2000,233 ( 1 ) : 137 - 156.
  • 10Barsikow B, King W F, Maiser E P. Wheel/rail noise generated by high-speed train investigated with a line array of microphones [ J]. Journal of Sound and Vibration, 1987,118 ( 1 ) :99 - 122.

共引文献47

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部