A Chaotic Feature Extraction Based on SMMF and CMMFD for Early Fault Diagnosis of Rolling Bearing

A Chaotic Feature Extraction Based on SMMF and CMMFD for Early Fault Diagnosis of Rolling Bearing

Various failure mechanisms of rolling bearing under different working conditions involve important nonlinear dynamic characteristics. And the incipient fault detection of the complex and non-stationary rolling bearing signal is difficult, especially with multiple interference source components. To a...

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Bibliographic Details
Main Authors: Xiaoli Yan, Guiji Tang, Xiaolong Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Composite multi-scale morphological fractal dimension
smooth multi-scale morphological filtering
rolling bearing
fault feature extraction
Online Access:https://ieeexplore.ieee.org/document/9210625/

Internet

https://ieeexplore.ieee.org/document/9210625/

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