Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

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Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

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作者：Jinde Zheng^a ; ^{jdzheng1986@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Haiyang Pan^a ; Junsheng Cheng^b
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

•: Composite multiscale fuzzy entropy is proposed for measuring the complexity of time series.
•: CMFE is compared with multiscale fuzzy entropy.
•: CMFE is employed to extract the hidden features from vibration signals.
•: A novel fault diagnosis method is proposed based on the CMFE and ensemble SVMs.

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