Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference38 articles.
1. Entropy based dictionary learning for image classification;Abdi;Pattern Recognition,2021
2. Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions;An;Expert Systems with Applications,2023
3. A two-stage domain alignment method for multi-source domain fault diagnosis;Cao;Measurement,2023
4. Domain adaptive deep belief network for rolling bearing fault diagnosis;Che;Computers & Industrial Engineering,2020
5. A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery;Chen;IEEE Transactions on Cybernetics,2023
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