| Adversarial domain-invariant generalization: A generic domain-regressive framework for bearing fault diagnosis under unseen conditions L Chen, Q Li, C Shen, J Zhu, D Wang, M Xia IEEE Transactions on Industrial Informatics 18 (3), 1790-1800, 2021 | 151 | 2021 |
| Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions Q Li, C Shen, L Chen, Z Zhu Mechanical Systems and Signal Processing 147, 107095, 2021 | 132 | 2021 |
| Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks S Sun, Y Liu, Q Li, T Wang, F Chu Energy Conversion and Management 283, 116916, 2023 | 113 | 2023 |
| Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions Q Li, L Chen, L Kong, D Wang, M Xia, C Shen Reliability Engineering & System Safety 234, 109171, 2023 | 63 | 2023 |
| Enhanced generative adversarial networks for fault diagnosis of rotating machinery with imbalanced data Q Li, L Chen, C Shen, B Yang, Z Zhu Measurement Science and Technology 30 (11), 115005, 2019 | 61 | 2019 |
| Transparent operator network: a fully interpretable network incorporating learnable wavelet operator for intelligent fault diagnosis Q Li, H Li, W Hu, S Sun, Z Qin, F Chu IEEE Transactions on Industrial Informatics, 2024 | 16 | 2024 |
| A lightweight and robust model for engineering cross-domain fault diagnosis via feature fusion-based unsupervised adversarial learning Q Chen, L Chen, Q Li, J Shi, Z Zhu, C Shen Measurement 205, 112139, 2022 | 15 | 2022 |
| Adversarial multi-domain adaptation for machine fault diagnosis with variable working conditions Q Li, S Liu, B Yang, Y Xu, L Chen, C Shen 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020 | 3 | 2020 |
| Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI Q Li, Y Liu, S Sun, Z Qin, F Chu Journal of Manufacturing Systems 77, 652-661, 2024 | 2 | 2024 |
| Wind turbine blade breakage detection based on environment-adapted contrastive learning S Sun, Q Li, W Hu, Z Liang, T Wang, F Chu Renewable Energy 219, 119487, 2023 | 2 | 2023 |
| Physics-Informed Scaling Evolutionary Transformer for In-Situ Tool Condition Monitoring Y Liu, T Wang, S Sun, Q Li, F Chu IEEE/ASME Transactions on Mechatronics, 2023 | 2 | 2023 |
| An Unsupervised Method for Rolling Bearing Fault Diagnosis Based on Clustering and Stacked Auto-Encoder J Zhang, L Chen, Q Li, Y Zhuang 2018 International Conference on Sensing, Diagnostics, Prognostics, and …, 2018 | 2 | 2018 |
| A Fully Transparent Deep Signal Operator Network for Intelligent Fault Diagnosis Q Li, S Sun, W Hu, H Li, Z Qin, F Chu 2023 Global Reliability and Prognostics and Health Management Conference …, 2023 | | 2023 |
Changqing Shen / 沈长青Professor, Soochow University / 苏州大学Geverifieerd e-mailadres voor suda.edu.cn