A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis. However, the tuning aiming at obtaining the well-trained CNN model is mainly manual search. Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and is always time co...

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Bibliographic Details

Published in:	Frontiers of Mechanical Engineering Vol. 17; no. 2; p. 17
Main Authors:	WEN, Long, WANG, You, LI, Xinyu
Format:	Journal Article
Language:	English
Published:	Beijing Higher Education Press 01.06.2022
Subjects:	convolutional neural network deep reinforcement learning Engineering fault diagnosis hyper parameter optimization Intelligent Diagnosis and Maintenance Mechanical Engineering Research Article fault diagnosis deep reinforcement learning hyper parameter optimization convolutional neural network
ISSN:	2095-0233, 2095-0241
Online Access:	Get full text
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