文章摘要
杨洋,褚志刚.反卷积波束形成识别电机冷却系噪声辐射路径[J].,2014,33(5):439-445
反卷积波束形成识别电机冷却系噪声辐射路径
Noise radiation path identification of motor cooling system utilizing deconvolution beamforming
投稿时间:2013-11-07  修订日期:2014-08-29
中文摘要:
      为更准确地识别某电机冷却系噪声的辐射路径,基于FFT-NNLS反卷积波束形成方法对其进行试验研究。结果表明:相比于传统波束形成,FFT-NNLS反卷积波束形成能够显著提高分辨率,更准确地识别声源;224 Hz风扇叶片通过频率和400~1200 Hz频段的噪声水平较高,分别占声源计算面总噪声的17.7%和49.1%;冷却液入口是最主要的噪声辐射路径、进气口次之、出气口相对较弱。为该电机声学性能的改善指明了方向。
英文摘要:
      In order to identify the noise radiation paths of a motor cooling system, an experiment was carried out and studied based on FFT-NNLS deconvolution beamforming method. Three conclusions could be drawn from the experiment. Firstly, in contrast to conventional beamforming, FFT-NNLS deconvolution beamforming helps to improve the spatial resolution dramatically, thus identifying sound sources more precisely. Secondly, the noise level at the blade passing frequency namely 224 Hz and the one in the frequency range from 400 Hz to 1200 Hz are relatively high, which respectively are 17.7% and 49.1% of the total noise level in the sound source calculation face. Finally, the cooling liquid entrance is the most dominant noise radiation path, the air inlet follows and the air outlet radiates relatively less noise. These conclusions point out directions to improve the motor’s acoustical performance.
DOI:10.11684/j.issn.1000-310X.2014.05.010
中文关键词: 电机,噪声,辐射路径,波束形成,反卷积
英文关键词: Motor, Noise,Radiation path,Beamforming, Deconvolution
基金项目:中央高校基本科研业务费资助项目(CDJZR13110001)
作者单位E-mail
杨洋 重庆工业职业技术学院车辆工程学院 yangyang911127@163.com 
褚志刚 重庆大学机械工程学院汽车系 zgchu@cqu.edu.cn 
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