An Improved Empirical Mode Decomposition Based on Adaptive Weighted Rational Quartic Spline for Rolling Bearing Fault Diagnosis

An Improved Empirical Mode Decomposition Based on Adaptive Weighted Rational Quartic Spline for Rolling Bearing Fault Diagnosis

As a powerful time-frequency signal analysis technique, empirical mode decomposition (EMD) has been commonly applied in fault diagnosis. However, the cubic spline-curve often causes outstanding over and undershoot problem, which significantly limits the performance of conventional EMD. To address th...

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Bibliographic Details
Main Authors: Xuerong Ye, Yifan Hu, Junxian Shen, Rui Feng, Guofu Zhai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Vibration signal processing
fault diagnosis
weighted rational quartic spline
improved EMD
envelope characteristic frequency ratio
parameter adaptive optimization
Online Access:https://ieeexplore.ieee.org/document/9129667/

Internet

https://ieeexplore.ieee.org/document/9129667/

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