ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE RCGMVMFE AND MANIFOLD LEARNING

ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE RCGMVMFE AND MANIFOLD LEARNING

Multi-scale fuzzy entropy can well measure the complexity of the vibration signal, but it lacks the effective use of other channel information. To make full use of the vibration information of other channels, the multivariate sample entropy theory that characterizes the multivariate complexity of sy...

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Bibliographic Details
Main Authors: LIU WuQiang, YANG XiaoQiang, SHEN JinXing
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2022-01-01
Series:Jixie qiangdu
Subjects:
CEEMDAN
RCGmvMFE
Sensitive IMF
t-distributed stochastic neighbor embedding
Manifold learning
Rolling bearings
Fault diagnosis
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.002

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.002

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