Method of assessing the state of a rolling bearing based on the relative compensation distance of multiple-domain features and locally linear embedding
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- 作者：Shouqiang Kanga ; c ; 1 ; kangshouqiang@163.com" class="auth_mail" title="E-mail the corresponding author ; Danyang Maa ; Yujing Wanga ; b ; mirrorwyj@163.com" class="auth_mail" title="E-mail the corresponding author ; Chaofeng Lana ; Qingguo Chena ; V.I. Mikulovichc
- 关键词：Ensemble empirical mode decomposition ; Multiple-domain features ; Locally linear embedding ; Relative compensation distance ; Performance degradation assessment
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：86
- 期：part_PA
- 页码：40-57
- 全文大小：2236 K
文摘
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A novel method is proposed for rolling bearing performance degradation assessment.
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Sensitive IMFs of improved EEMD are combined with SVD to extract time-frequency features.
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Multi-domain feature vectors were constructed to characterize fault information more completely.
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LLE effectively eliminates correlation and redundancy of vibration signal features.
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As an assessment index the proposed relative compensation distance is more effective.
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