Novel Fault Detection Method for Rolling Bearings Based on Improved Variational Modal Decomposition Method

Novel Fault Detection Method for Rolling Bearings Based on Improved Variational Modal Decomposition Method

To enhance the precision of rolling bearing fault detection and lessen the likelihood of safety mishaps, this paper proposes a fault detection method grounded in improved variational mode decomposition. This technique initially employs the Northern Eagle Algorithm to determine the optimal parameter...

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Bibliographic Details
Main Authors: Xiaoli Huang, Haifeng Xu, Junying Cui
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fault detection
improved variational modal decomposition
northern eagle algorithm
Spearman correlation coefficient
Hilbert envelope spectrum
characteristic frequency of faults
Online Access:https://ieeexplore.ieee.org/document/10460527/

Internet

https://ieeexplore.ieee.org/document/10460527/

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