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 | 605 | 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 | 242 | 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 | 195 | 2018 |
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 | 186 | 2020 |
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 | 183 | 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 | 166 | 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 | 128 | 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 | 51 | 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 | 40 | 2018 |
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 | 39 | 2021 |
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 | 38 | 2016 |
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 | 13 | 2023 |
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 | 12 | 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 | 11 | 2021 |
Intelligent fault diagnosis of rotating machinery using lightweight network with modified treestructured 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 | 8 | 2022 |
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 | 4 | 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 |