Federated transfer learning for bearing fault diagnosis with discrepancy-based weighted federated averaging J Chen, J Li, R Huang, K Yue, Z Chen, W Li IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 110 | 2022 |
Multiscale wavelet prototypical network for cross-component few-shot intelligent fault diagnosis K Yue, J Li, J Chen, R Huang, W Li IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2022 | 32 | 2022 |
Federated learning for bearing fault diagnosis with dynamic weighted averaging J Chen, J Li, R Huang, K Yue, Z Chen, W Li 2021 International Conference on Sensing, Measurement & Data Analytics in …, 2021 | 29 | 2021 |
Multiple source-free domain adaptation network based on knowledge distillation for machinery fault diagnosis K Yue, J Li, Z Chen, R Huang, W Li IEEE Transactions on Instrumentation and Measurement, 2023 | 16 | 2023 |
Unsupervised continual source-free network for fault diagnosis of machines under multiple diagnostic domains J Li, K Yue, R Huang, Z Chen, K Gryllias, W Li IEEE Sensors Journal 23 (8), 8292-8303, 2023 | 16 | 2023 |
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery J Li, X Zhang, K Yue, J Chen, Z Chen, W Li Expert Systems with Applications 249, 123836, 2024 | 12 | 2024 |
Source-free partial domain adaptation in rotating machinery fault diagnosis using deep hypothesis domain adaptation network K Yue, W Li, J Li, Z Chen, R Huang 2022 International Conference on Sensing, Measurement & Data Analytics in …, 2022 | 4 | 2022 |
A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples K Yue, J Li, S Deng, CK Kwoh, Z Chen, W Li Reliability Engineering & System Safety 252, 110429, 2024 | 3 | 2024 |
A Data-Driven Approach for Power IGBT Operation State Prediction Based on Domain Adapted BiLSTM Networks S Deng, W Li, K Yue, J Li, R Huang, Z Chen 2023 International Conference on Sensing, Measurement & Data Analytics in …, 2023 | 2 | 2023 |
Intelligent cross-domain fault diagnosis for rotating machinery using multiscale adversarial convolutional neural network K Yue, J Li, J Chen, W Li 2022 IEEE International Instrumentation and Measurement Technology …, 2022 | 2 | 2022 |
Remaining useful life prediction with spatio-temporal graph transform and weakly supervised adversarial network: An application in power components S Deng, Z Chen, H Lan, K Yue, Z Huang, W Li Energy 313, 133599, 2024 | 1 | 2024 |
KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples J Li, K Yue, Z Wu, F Jiang, C Jiang, W Li, S Zhang Mechanical Systems and Signal Processing 227, 112379, 2025 | | 2025 |
Source-free Progressive Domain Adaptation Network for Universal Cross-domain Fault Diagnosis of Industrial Equipment J Li, K Yue, Z Wu, F Jiang, Z Zhong, W Li, S Zhang IEEE Sensors Journal, 2025 | | 2025 |
An Uncertainty-Aware Continual Learning Framework for Fault Diagnosis of Rotating Machinery With Homogeneous-Heterogeneous Faults J Li, K Yue, Z Chen, J Xia, W Li, X Zhang IEEE Transactions on Automation Science and Engineering, 2024 | | 2024 |
Global-Local Continual Transfer Network for Intelligent Fault Diagnosis of Rotating Machinery J Li, K Yue, J Liao, T Wang, X Zhang Annual Conference of the PHM Society 16 (1), 2024 | | 2024 |
Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox K Yue, J Li, Z Chen, J Chen, W Li 2024 IEEE International Instrumentation and Measurement Technology …, 2024 | | 2024 |
An Emerging Fault Diagnosis Framework with Incremental Meta-Learning for Rotating Machinery K Yue, J Li, Z Chen, J Chen, W Li 2023 International Conference on Sensing, Measurement & Data Analytics in …, 2023 | | 2023 |