Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference31 articles.
1. Unsupervised domain adaptation of bearing fault diagnosis based on join sliced Wasserstein distance;Chen;ISA Transactions,2022
2. A multi-source weighted deep transfer network for open-set fault diagnosis of rotary machinery;Chen;IEEE Transactions on Cybernetics,2022
3. Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network;Chen;Advanced Engineering Informatics,2023
4. Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis;Dong;Reliability Engineering & System Safety,2023
5. Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis;Gao;Expert Systems with Applications,2024
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1. Federated transfer learning-based distributed fault diagnosis method for rolling bearings;Measurement Science and Technology;2024-09-13
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