Rui Wang
Orcid: 0000-0001-8960-596XAffiliations:
- Soochow University, School of Rail Transportation, Suzhou, China
- Anhui University, Anhui Engineering Laboratory of Human Robot Integration System Equipment, Hefei, China
According to our database1,
Rui Wang
authored at least 14 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Non-Uniformly Weighted Multisource Domain Adaptation Network For Fault Diagnosis Under Varying Working Conditions.
Neural Process. Lett., April, 2024
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples.
Knowl. Based Syst., 2024
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation.
Expert Syst. Appl., 2024
2023
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., December, 2023
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy.
Knowl. Based Syst., December, 2023
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., October, 2023
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, October, 2023
Prototype-Driven Class-Wise Adversarial Transfer Networks for Partial Domain Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2023
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas., 2023
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst., 2023
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis.
Eng. Appl. Artif. Intell., 2023
2022
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions.
IEEE Trans. Instrum. Meas., 2022
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst., 2022
2020
Imbalanced Fault Diagnosis of Rolling Bearing Using Enhanced Generative Adversarial Networks.
IEEE Access, 2020