Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition Multisynchrosqueezing Transform Combined With Long Short-Term Memory Networks

Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition Multisynchrosqueezing Transform Combined With Long Short-Term Memory Networks

Aiming at the characteristics of weak vibration signal, strong interference, unevenness and nonlinearity in rolling bearing faults, this paper proposes a bearing fault intelligent diagnosis method based on variational modal decomposition (VMD) and Multisynchrosqueezing transform (MSST). First, the o...

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Bibliographic Details
Main Authors: Tao Liang, Qingzhao Lv, Jianxin Tan, Yanwei Jing, Hexu Sun
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Bearing fault diagnosis
variational modal decomposition
multisynchrosqueezing transform
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/9780385/
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