Rotating machine fault diagnosis based on intrinsic characteristic-scale decomposition
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- 作者：Yongbo Li liyongbo0532@126.com" class="auth_mail" title="E-mail the corresponding author ; Minqiang Xu ; xumqhit@126.com" class="auth_mail" title="E-mail the corresponding author ; Yu Wei weiyu1219@126.com" class="auth_mail" title="E-mail the corresponding author ; Wenhu Huang leobo28@foxmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Intrinsic characteristic-scale decomposition (ICD) ; Non-stationary signal ; Rotating machinery ; Fault signature analysis
- 刊名：Mechanism and Machine Theory
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：94
- 期：Complete
- 页码：9-27
- 全文大小：3130 K
文摘
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A new self-adaptive time–frequency analysis method ICD is proposed.
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ICD method integrates the advantages of LMD and ITD.
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ICD can avoid some limitations existing in LMD.
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Experimental analysis proved the feasibility and effectivity of the proposed method.