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
Published in:Mathematical Biosciences and Engineering
Main Authors: Guanghua Fu, Qingjuan Wei, Yongsheng Yang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
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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