Jun Zhu
Orcid: 0000-0003-2544-5084Affiliations:
- Northwestern Polytechnical University, Department of Civil Aviation, Xi'an, China
- National University of Singapore, Department of industrial engineering, Singapore (PhD 2020)
According to our database1,
Jun Zhu
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information.
IEEE Trans. Instrum. Meas., 2024
2023
A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions.
IEEE Trans. Instrum. Meas., 2023
A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy.
IEEE Trans. Instrum. Meas., 2023
Bearing Fault Diagnosis Under Multisensor Fusion Based on Modal Analysis and Graph Attention Network.
IEEE Trans. Instrum. Meas., 2023
Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2023
2022
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers.
IEEE Trans. Ind. Informatics, 2022
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions.
IEEE Trans. Ind. Informatics, 2022
2021
Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2021
A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines.
IEEE Trans. Ind. Informatics, 2021
2020
Reliab. Eng. Syst. Saf., 2020
Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
2019
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network.
IEEE Trans. Ind. Electron., 2019
IEEE Access, 2019