| Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data Q Li, B Tang, L Deng, Y Wu, Y Wang Measurement 156, 107570, 2020 | 72 | 2020 |
| Distillation-enhanced fast neural architecture search method for edge-side fault diagnosis of wind turbine gearboxes Y Wu, B Tang, L Deng, Q Li Expert Systems with Applications 208, 118049, 2022 | 28 | 2022 |
| Cross-attribute adaptation networks: Distilling transferable features from multiple sampling-frequency source domains for fault diagnosis of wind turbine gearboxes Q Li, B Tang, L Deng, P Xiong, M Zhao Measurement 200, 111570, 2022 | 23 | 2022 |
| Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy Q Li, B Tang, L Deng, P Zhu Reliability Engineering & System Safety 238, 109468, 2023 | 19 | 2023 |
| Dual-frequency enhanced attention network for aircraft engine remaining useful life prediction Q Yang, B Tang, Q Li, X Liu, L Bao ISA transactions 141, 167-183, 2023 | 14 | 2023 |
| Joint condition monitoring framework of wind turbines based on multi-task learning with poor-quality data J Ding, L Deng, Q Li, X Gu, B Tang ISA transactions 146, 221-235, 2024 | 10 | 2024 |
| Multilevel adaptive near-lossless compression in edge collaborative wireless sensor networks for mechanical vibration monitoring C Zhao, B Tang, L Deng, Y Huang, Q Li IEEE Transactions on Industrial Electronics 70 (11), 11703-11713, 2022 | 9 | 2022 |
| A gradient aligned domain adversarial network for unsupervised intelligent fault diagnosis of gearboxes M Ran, B Tang, P Sun, Q Li, T Shi ISA transactions 148, 461-476, 2024 | 8 | 2024 |
| Self-attention parallel fusion network for wind turbine gearboxes fault diagnosis Q Yang, B Tang, Y Shen, Q Li IEEE Sensors Journal, 2023 | 8 | 2023 |
| Twin prototype networks with noisy label self-correction for fault diagnosis of wind turbine gearboxes X Liu, B Tang, Q Li, Q Yang Measurement Science and Technology 34 (3), 035006, 2022 | 5 | 2022 |
| Digital twin-assisted fault diagnosis framework for rolling bearings under imbalanced data Z Ming, B Tang, L Deng, Q Yang, Q Li Applied Soft Computing 168, 112528, 2025 | 2 | 2025 |
| Digital twin-enabled entropy regularized wavelet attention domain adaptation network for gearboxes fault diagnosis without fault data P Zhu, L Deng, B Tang, Q Yang, Q Li Advanced Engineering Informatics 64, 103055, 2025 | 1 | 2025 |
| Simulation data-driven adaptive frequency filtering focal network for rolling bearing fault diagnosis Z Ming, B Tang, L Deng, Q Li Engineering Applications of Artificial Intelligence 138, 109371, 2024 | 1 | 2024 |
| Adaptive centroid prototype-based domain adaptation for fault diagnosis of rotating machinery without source data Q Li, B Tang, L Deng, Q Yang, P Zhu Reliability Engineering & System Safety 251, 110393, 2024 | 1 | 2024 |
| Physical mechanism-corrected degradation trend prediction network under data missing Q Yang, B Tang, Q Li, P Zhu, S Yang ISA transactions 149, 237-255, 2024 | 1 | 2024 |
