Lightweight and Highly Robustness Network With Multi-Domain Adaptability

Traditional deep learning methods have problems such as low efficiency and poor robustness in satellite gyroscope rolling bearing fault diagnosis. This paper presents an advanced fault diagnosis model that enhances traditional convolutional neural networks (CNN) to address these limitations. The pro...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Rongqiang Guan, Qiongying Lv, Bing Jia, Anjun Xu, Jing Yu
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Fault diagnosis robustness deep learning lightweight
Online Access:	https://ieeexplore.ieee.org/document/10697121/