Bearing fault diagnosis with parallel CNN and LSTM

Bearing fault diagnosis with parallel CNN and LSTM

Intelligent diagnosis of bearing faults is fundamental to machinery automation and their intelligent operation. Deep learning-based analysis of bearing vibration data has emerged as one research mainstream for fault diagnosis. To enhance the quality of feature extraction from bearing vibration signa...

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Bibliographic Details
Main Authors: Guanghua Fu, Qingjuan Wei, Yongsheng Yang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
bearing fault diagnosis
cwt
cnn
lstm
parallel path
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024105?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024105?viewType=HTML

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