| A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges W Li, R Huang, J Li, Y Liao, Z Chen, G He, R Yan, K Gryllias Mechanical Systems and Signal Processing 167, 108487, 2022 | 415 | 2022 |
| Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery Z Chen, G He, J Li, Y Liao, K Gryllias, W Li IEEE Transactions on Instrumentation and Measurement 69 (11), 8702-8712, 2020 | 200 | 2020 |
| Deep decoupling convolutional neural network for intelligent compound fault diagnosis R Huang, Y Liao, S Zhang, W Li Ieee Access 7, 1848-1858, 2018 | 174 | 2018 |
| A two-stage transfer adversarial network for intelligent fault diagnosis of rotating machinery with multiple new faults J Li, R Huang, G He, Y Liao, Z Wang, W Li IEEE/ASME Transactions on Mechatronics 26 (3), 1591-1601, 2020 | 140 | 2020 |
| Deep semisupervised domain generalization network for rotary machinery fault diagnosis under variable speed Y Liao, R Huang, J Li, Z Chen, W Li IEEE Transactions on Instrumentation and Measurement 69 (10), 8064-8075, 2020 | 139 | 2020 |
| Deep adversarial capsule network for compound fault diagnosis of machinery toward multidomain generalization task R Huang, J Li, Y Liao, J Chen, Z Wang, W Li IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 131 | 2020 |
| A multi-source weighted deep transfer network for open-set fault diagnosis of rotary machinery Z Chen, Y Liao, J Li, R Huang, L Xu, G Jin, W Li IEEE Transactions on Cybernetics 53 (3), 1982-1993, 2022 | 81 | 2022 |
| Wavelet transform based convolutional neural network for gearbox fault classification Y Liao, X Zeng, W Li 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-6, 2017 | 46 | 2017 |
| Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis Y Liao, L Zhang, W Li Journal of Intelligent & Fuzzy Systems 34 (6), 3671-3680, 2018 | 39 | 2018 |
| Gearbox fault classification using S-transform and convolutional neural network X Zeng, Y Liao, W Li 2016 10th international conference on sensing technology (ICST), 1-5, 2016 | 35 | 2016 |
| Dynamic distribution adaptation based transfer network for cross domain bearing fault diagnosis Y Liao, R Huang, J Li, Z Chen, W Li Chinese Journal of Mechanical Engineering 34 (1), 52, 2021 | 29 | 2021 |
| Simultaneous fault type and severity identification using a two-branch domain adaptation network Z Chen, R Huang, Y Liao, J Li, G Jin, W Li Measurement Science and Technology 32 (9), 094014, 2021 | 10 | 2021 |
| Federated transfer learning for bearing fault diagnosis based on averaging shared layers W Yang, J Chen, Z Chen, Y Liao, W Li 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 1-7, 2021 | 9 | 2021 |
| Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators J Liang, Y Liao, Z Chen, H Lin, G Jin, K Gryllias, W Li IET Collaborative Intelligent Manufacturing 4 (3), 194-207, 2022 | 5 | 2022 |
| Digital twin-assisted gearbox dynamic model updating toward fault diagnosis J Xia, R Huang, Y Liao, J Li, Z Chen, W Li Frontiers of Mechanical Engineering 18 (2), 32, 2023 | 4 | 2023 |
| Regrouping particle swarm optimization-based neural network for bearing fault diagnosis Y Liao, L Zhang, W Li 2017 International Conference on Sensing, Diagnostics, Prognostics, and …, 2017 | 3 | 2017 |
| Dynamic modeling of gearbox based on virtual-physical interaction J Xia, R Huang, Y Liao, Z Chen, W Li 2021 International Conference on Sensing, Measurement & Data Analytics in …, 2021 | 2 | 2021 |
| Differentiable Architecture Searched Network with Tree-Structured Parzen Estimators for Rotating Machinery Fault Diagnosis J Liang, Y Liao, W Li Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and …, 2022 | | 2022 |
Weihua LiProf. with School of Mechanical & Automotive Engineering, South China University of TechnologyVerified email at scut.edu.cn
