Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines
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- 作者：Jinde Zhenga ; jdzheng1986@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Haiyang Pana ; Junsheng Chengb
- 关键词：Multiscale entropy ; Composite multiscale fuzzy entropy ; Ensemble support vector machine ; Rolling bearing ; Fault diagnosis
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：85
- 期：Complete
- 页码：746-759
- 全文大小：814 K
文摘
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Composite multiscale fuzzy entropy is proposed for measuring the complexity of time series.
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CMFE is compared with multiscale fuzzy entropy.
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CMFE is employed to extract the hidden features from vibration signals.
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A novel fault diagnosis method is proposed based on the CMFE and ensemble SVMs.