A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory

Deep learning (DL) plays a very important role in the fault diagnosis of rotating machinery. To enhance the self-learning capacity and improve the intelligent diagnosis accuracy of DL for rotating machinery, a novel hybrid deep learning method (NHDLM) based on Extended Deep Convolutional Neural Netw...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Yangde Gao, Cheol Hong Kim, Jong-Myon Kim
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Subjects:	deep learning fault diagnosis rotating machinery Extended Deep Convolutional Neural Networks long short-term memory
Online Access:	https://www.mdpi.com/1424-8220/21/19/6614