| 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 | 412 | 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 | 197 | 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 | 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 | 130 | 2020 |
| A deep adversarial transfer learning network for machinery emerging fault detection J Li, R Huang, G He, S Wang, G Li, W Li IEEE Sensors Journal 20 (15), 8413-8422, 2020 | 99 | 2020 |
| A robust weight-shared capsule network for intelligent machinery fault diagnosis R Huang, J Li, S Wang, G Li, W Li IEEE Transactions on Industrial Informatics 16 (10), 6466-6475, 2020 | 99 | 2020 |
| Deep ensemble capsule network for intelligent compound fault diagnosis using multisensory data R Huang, J Li, W Li, L Cui IEEE Transactions on Instrumentation and Measurement 69 (5), 2304-2314, 2019 | 80 | 2019 |
| 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 | 79 | 2022 |
| 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 | 63 | 2022 |
| 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 |
| Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions J Li, R Huang, Z Chen, G He, KC Gryllias, W Li Advanced Engineering Informatics 55, 101883, 2023 | 21 | 2023 |
| 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 | 19 | 2021 |
| Deep self-supervised domain adaptation network for fault diagnosis of rotating machine with unlabeled data J Li, R Huang, J Chen, J Xia, Z Chen, W Li IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022 | 18 | 2022 |
| Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network Z Chen, J Xia, J Li, J Chen, R Huang, G Jin, W Li Advanced Engineering Informatics 57, 102033, 2023 | 16 | 2023 |
| Intelligent fault diagnosis for machinery based on enhanced transfer convolutional neural network 陈祝云， 钟琪， 黄如意， 廖奕， 李霁蒲， 李巍华 Journal of Mechanical Engineering 57 (21), 96-105, 2021 | 16 | 2021 |
| A transferable capsule network for decoupling compound fault of machinery R Huang, Z Wang, J Li, J Chen, W Li 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 14 | 2020 |
| Intelligent fault diagnosis for bearing dataset using adversarial transfer learning based on stacked auto-encoder J Li, R Huang, W Li Procedia Manufacturing 49, 75-80, 2020 | 14 | 2020 |
| 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 | 13 | 2022 |
| 基于增强迁移卷积神经网络的机械智能故障诊断 陈祝云， 钟琪， 黄如意， 廖奕， 李霁蒲， 李巍华 机械工程学报 57 (21), 96-105, 2021 | 12 | 2021 |
Ruyi Huang / 黄如意South China University of TechnologyVerified email at scut.edu.cn
