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文章基本信息

  • 标题:Research on Sound Source Localization for Device Fault Diagnosis
  • 本地全文:下载
  • 作者:Liang Zhang ; Tiejun Li ; Yinxue Zong
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2016
  • 卷号:11
  • 期号:9
  • 页码:211-220
  • 出版社:SERSC
  • 摘要:A sound source localization method is presented herein aroundthe utilizationwiththe sound signal for device fault diagnosis. Firstly, Butterworth wavelet and its filter banks were designed aimed at the background noise separation in the industrial environment, it is proved that the Butterworth wavelet filter can extract the weak fault features in source signals without frequency aliasing phenomenon. Then the algorithms of sound source localization was studied in depth, the generalized cross-correlation(GCC) based time delay estimation(TDE) was presented. Finally the coordinates of sound source location was obtained in the quaternion microphone array model. The experiment results show that in the industrial environment, the error value of positioning accuracy is less than 4cm within anappropriate distance, it can meet the needs of practical application, meanwhile the reliability and the real-time performance is satisfactory.
  • 关键词:Fault Diagnosis; S;ound ;Source;L;ocalization; ;Butterworth Wa;velet; ;Generalized Cross;-;correlation; Time Delay Estimation
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