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文章基本信息

  • 标题:A Vibration Signal Envelope Extract Method Based on Wavelet
  • 本地全文:下载
  • 作者:Guoxi Sun ; Qinghua Zhang ; Aisong Qing
  • 期刊名称:International Journal of Smart Home
  • 印刷版ISSN:1975-4094
  • 出版年度:2015
  • 卷号:9
  • 期号:2
  • 页码:265-274
  • DOI:10.14257/ijsh.2015.9.2.24
  • 出版社:SERSC
  • 摘要:Rotating machine fault detecting is the key technology for ensure that they can run health and security. And the simple and practice methods based on envelope employed in the fault detecting. In this paper, a vibration signal envelope extract method based on wavelet was proposed. In this proposed, the wavelet used to filter the noise which embedded the vibration signal, and to detect weak signal (fault signal) through obtained the coefficients by wavelet processing. And then, the Hilbert envelope was introduced to do energy envelope spectrum analysis for coefficients obtained by wavelet processing, the results analysis shows, the proposed method used to extract the signal envelope for fault detecting is practical, stability and reliable.
  • 关键词:Fault diagnosis; Hilbert transform; Wavelet analysis; Envelope extract
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