面向低速旋转声源的波束形成声源定位比较研究

孟柳艺; 柳小勤; 郭祥; 李亚山

doi:10.13433/j.cnki.1003-8728.20240034

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面向低速旋转声源的波束形成声源定位比较研究

更新时间：2026-04-23

- 面向低速旋转声源的波束形成声源定位比较研究
- A Comparative Study of Beamforming Sound Source Localization for Low-speed Rotating Sound Sources
- 机械科学与技术 2026年45卷第1期页码：116-123
- 作者机构：
  
  昆明理工大学机构机电工程学院云南省高校振动与噪声重点实验室,昆明,650500
- 作者简介：
  
  [ "孟柳艺，硕士研究生，" ]
  [ "柳小勤，教授，博士生导师，博士," ]
- 基金信息：
  
  国家自然科学基金面上项目 51875272
- DOI：10.13433/j.cnki.1003-8728.20240034
  中图分类号：
- 纸质出版：2026
- 稿件说明：
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孟柳艺, 柳小勤, 郭祥, 等. 面向低速旋转声源的波束形成声源定位比较研究[J]. 机械科学与技术, 2026,45(1):116-123.

孟柳艺, 柳小勤, 郭祥, et al. A Comparative Study of Beamforming Sound Source Localization for Low-speed Rotating Sound Sources[J]. Mechanical Science and Technology for Aerospace Engineering, 2026, 45(1): 116-123.
孟柳艺, 柳小勤, 郭祥, 等. 面向低速旋转声源的波束形成声源定位比较研究[J]. 机械科学与技术, 2026,45(1):116-123. DOI： 10.13433/j.cnki.1003-8728.20240034.

孟柳艺, 柳小勤, 郭祥, et al. A Comparative Study of Beamforming Sound Source Localization for Low-speed Rotating Sound Sources[J]. Mechanical Science and Technology for Aerospace Engineering, 2026, 45(1): 116-123. DOI： 10.13433/j.cnki.1003-8728.20240034.

摘要

低速旋转机械故障特征存在频率低、难提取、诊断困难等问题，基于麦克风阵列的声学成像技术具有测量速度快、非接触式测量等优势，能够提高诊断精度和准确率。该文利用切片处理将具有较低运动速度的旋转声源等效为静止声源，针对传统波束形成、反卷积类波束形成算法中的DAMAS、CLEAN-PSF和CLEAN-SC，分别从声源成像空间分辨率、定位误差和计算效率进行对比分析。实验结果表明，CLEAN-PSF算法具有良好的定位和效率综合效果。该研究将为声学成像技术应用到低速旋转机械故障声源定位的波束形成算法选择提供参考。

Abstract

The fault characteristics of low-speed rotating machinery have the problems of low frequency

difficult extraction and difficult diagnosis. The acoustic imaging technology based on microphone array has the advantages of fast measurement and non-contact measurement

which can improve the diagnostic precision and accuracy rate. In this paper

the rotating sound source with low motion speed is equivalent to a stationary sound source by slice processing. For DAMAS

CLEAN-PSF and CLEAN-SC in traditional beamforming and deconvolution beamforming algorithms

the spatial resolution

positioning error and computational efficiency of sound source imaging are compared and analyzed. The experimental results show that the CLEAN-PSF algorithm has good positioning and efficiency. This study will provide a reference for the application of acoustic imaging technology to the selection of beamforming algorithms for fault sound source localization of low-speed rotating machinery.

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