A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems,Building and Construction
Reference35 articles.
1. A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains;Li;Adv. Eng. Inf.,2022
2. Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis;Pan;Adv. Eng. Inf.,2022
3. Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis;Zhao;Knowl.-Based Syst.,2021
4. Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions;He;Knowl.-Based Syst.,2020
5. Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis;Liu;Measurement,2021
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