Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis
Author:
Affiliation:
1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China
Funder
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10064202/09774938.pdf?arnumber=9774938
Reference33 articles.
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4. Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data
5. Supervised contrastive learning;khosla;Proc Adv Neural Inf Process Syst,2020
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