Lightweight Convolutional Network for Bearing Fault Diagnosis

Lightweight Convolutional Network for Bearing Fault Diagnosis

In the field of bearing fault diagnosis, many convolutional models with excellent performance face challenges in industrial applications due to deployment cost constraints. This paper aims to develop a lightweight diagnostic method with reduced parameters. We investigate the feasibility of using de...

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Bibliographic Details
Main Authors:	LIU Hui, LI Yang, HOU Yimin
Format:	Article
Language:	zho
Published:	Harbin University of Science and Technology Publications 2024-08-01
Series:	Journal of Harbin University of Science and Technology
Subjects:	fault detection convolutional neural networks model structures vibrations (mechanical)
Online Access:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2352
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