Fault Diagnosis of Rolling Bearing Based on GA-VMD and Improved WOA-LSSVM

Fault Diagnosis of Rolling Bearing Based on GA-VMD and Improved WOA-LSSVM

To improve the fault identification accuracy of rolling bearings due to the problems of parameter optimization and low convergence accuracy, a novel fault diagnosis method for rolling bearings combining wavelet threshold de-noising, genetic algorithm optimization variational mode decomposition (GA-V...

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Bibliographic Details
Main Authors: Junning Li, Wuge Chen, Ka Han, Qian Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wavelet threshold de-noising
genetic algorithm
variational modal decomposition
von Neumann topology
rolling bearing
Online Access:https://ieeexplore.ieee.org/document/9194006/

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