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Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines
Zheng, J.; Pan, H.; Cheng, J.
刊名Mechanical Systems and Signal Processing
2017
卷号Vol.85页码:746-759
关键词Composite multiscale fuzzy entropy Ensemble support vector machine Fault diagnosis Multiscale entropy Rolling bearing
ISSN号0888-3270
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6042704
专题湖南大学
作者单位1.a School of Mechanical Engineering, Anhui University of Technology, Maanshan, Anhui, China
2.State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, China
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GB/T 7714
Zheng, J.,Pan, H.,Cheng, J.. Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines[J]. Mechanical Systems and Signal Processing,2017,Vol.85:746-759.
APA Zheng, J.,Pan, H.,&Cheng, J..(2017).Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines.Mechanical Systems and Signal Processing,Vol.85,746-759.
MLA Zheng, J.,et al."Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines".Mechanical Systems and Signal Processing Vol.85(2017):746-759.
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