A new rotating machinery fault diagnosis method based on improved local mean decomposition
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- 作者：Yongbo Li liyongbo0532@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Minqiang Xu ; xumqhit@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Zhao Haiyang zhaohaiyang2003@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yu Wei weiyuhrbeu@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Wenhu Huang leobo28@foxmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Local mean decomposition (LMD) ; Rational Hermite interpolation ; Orthogonality criterion (OC) ; Rotating machinery
- 刊名：Digital Signal Processing
- 出版年：2015
- 出版时间：November 2015
- 年：2015
- 卷：46
- 期：Complete
- 页码：201-214
- 全文大小：2034 K
文摘
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A novel time–frequency analysis method called OLMD is presented in this paper.
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OLMD can weaken the mode mixing problem in traditional LMD.
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The simulation and experimental results validate the reliability and feasibility of the proposed methodology.