Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data-Reference-Cited by-同舟云学术

Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data

Published:2024-08 Issue: Volume:61 Page:102471
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Lin Yanzhuo,Wang Yu,Zhang Mingquan,Wang Zenghui,Zhang Haijun,Zhao Ming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference38 articles.

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5. Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks;Zhao;Adv. Eng. Inf.,2022

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