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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