Fault Diagnosis of Rolling Bearings Using Dual-Tree Complex Wavelet Packet Transform and Time-Shifted Multiscale Range Entropy

Fault Diagnosis of Rolling Bearings Using Dual-Tree Complex Wavelet Packet Transform and Time-Shifted Multiscale Range Entropy

Most existing fault diagnosis methods for rolling bearings are single-stage; these methods can only judge the fault type but cannot detect the existence of a fault. Moreover, the uncertainty in pattern recognition may lead to misclassification of healthy bearings as faulty ones. This paper proposes...

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Bibliographic Details
Main Authors: Tao Han, Jian-Cheng Gong, Xiao-Qiang Yang, Li-Zhou An
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Dual-tree complex wavelet packet transform
time-shifted multiscale range entropy
t-distributed stochastic neighbor embedding
random forest
rolling bearing
two-stage fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9789190/

Internet

https://ieeexplore.ieee.org/document/9789190/

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