Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold

Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold

Aiming at the problem that fault signals of rolling bearing are easily submerged by the strong background noise, which makes it difficult to extract fault information, so a method based on kurtosis criterion variational mode decomposition (VMD) and modulo square threshold is proposed and applied to...

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Bibliographic Details
Main Authors: Xueying Zhang, Zhongquan Luan, Xiuli Liu
Format: Article
Language:English
Published: Wiley 2019-12-01
Series:The Journal of Engineering
Subjects:
signal processing
vibrations
fault diagnosis
mechanical engineering computing
rolling bearings
rolling bearing
kurtosis criterion vmd
modulo square threshold
fault signals
fault information
kurtosis criterion variational mode decomposition
largest kurtosis
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9084

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9084

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