Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network

Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network

In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK)...

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Bibliographic Details
Main Authors: Wuyi Chen, Huafeng Cai, Qiu Sun
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
global average pooling
fault diagnosis
variational mode decomposition
reweighted kurtosis
bidirectional gated recurrent unit
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/15/8/4430
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