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文章基本信息

  • 标题:Rolling Bearing Fault Detection Using Autocorrelation Based Morpho-logical Filtering and Empirical Mode Decomposition
  • 本地全文:下载
  • 作者:Jingyue WANG ; Haotian WANG ; Lixin GUO
  • 期刊名称:Mechanika
  • 印刷版ISSN:1392-1207
  • 出版年度:2018
  • 卷号:24
  • 期号:6
  • 页码:817-823
  • DOI:10.5755/j01.mech.24.6.22471
  • 语种:English
  • 出版社:Kauno Technologijos Universitetas
  • 摘要:In order to identify incipient rolling bearing pitting fault characteristics, an autocorrelation based multi-structure elements difference morphological filter and empirical mode decomposition method of fault diagnosis is presented in this paper. Through the experiment of rolling bearing inner and outer ring pitting failure, the fault vibration frequency is extracted to verify the feasibility of this method. The superiority of this method is verified by comparing with the empirical mode decomposition method with autocorrelation based multi-structure element mixed morphological filter and without filter.
  • 关键词:rolling bearing;pitting failure;autocorrelation;morphologi-cal filter;empirical mode decomposition
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