Fault feature extraction of rolling element bearings using sparse representation
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- 作者：Guolin He heguolindaoxian@163.com" class="auth_mail" title="E-mail the corresponding author ; Kang Ding kding@scut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Huibin Lin ; hblin@scut.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Rolling element bearing ; Feature extraction ; Sparse representation ; Matching pursuit
- 刊名：Journal of Sound and Vibration
- 出版年：2016
- 出版时间：31 March 2016
- 年：2016
- 卷：366
- 期：Complete
- 页码：514-527
- 全文大小：7694 K
文摘
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A bearing fault diagnosis method using sparse representation is proposed.
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Rolling element sliding and other time varying factors are taken into consideration.
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The dictionary parameters are directly identified from bearing fault signal.
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The fault impulses are reconstructed by segments.
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The method is confirmed through simulation and experimental results.