| Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network Z Chen, W Li IEEE Transactions on Instrumentation and Measurement 66 (7), 1693-1702, 2017 | 818 | 2017 |
| 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 | 413 | 2022 |
| A deep learning method for bearing fault diagnosis based on cyclic spectral coherence and convolutional neural networks Z Chen, A Mauricio, W Li, K Gryllias Mechanical Systems and Signal Processing 140, 106683, 2020 | 341 | 2020 |
| Mechanical fault diagnosis using convolutional neural networks and extreme learning machine Z Chen, K Gryllias, W Li Mechanical systems and signal processing 133, 106272, 2019 | 293 | 2019 |
| Intelligent fault diagnosis for rotary machinery using transferable convolutional neural network Z Chen, K Gryllias, W Li IEEE Transactions on Industrial Informatics 16 (1), 339-349, 2019 | 247 | 2019 |
| 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 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 |
| A novel weighted adversarial transfer network for partial domain fault diagnosis of machinery W Li, Z Chen, G He IEEE Transactions on Industrial Informatics 17 (3), 1753-1762, 2020 | 126 | 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 |
| 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 | 64 | 2022 |
| Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine R Wang, S Zhang, Z Chen, W Li Measurement 180, 109467, 2021 | 62 | 2021 |
| Machine fault classification using deep belief network Z Chen, X Zeng, W Li, G Liao 2016 IEEE international instrumentation and measurement technology …, 2016 | 48 | 2016 |
| Dual-attention generative adversarial networks for fault diagnosis under the class-imbalanced conditions R Wang, Z Chen, S Zhang, W Li IEEE Sensors Journal 22 (2), 1474-1485, 2021 | 39 | 2021 |
| Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective J Chen, R Huang, Z Chen, W Mao, W Li Mechanical Systems and Signal Processing 193, 110239, 2023 | 37 | 2023 |
| A novel impact feature extraction method based on EMD and sparse decomposition for gear local fault diagnosis Z Liu, K Ding, H Lin, G He, C Du, Z Chen Machines 10 (4), 242, 2022 | 30 | 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 |
| Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression J Chen, D Li, R Huang, Z Chen, W Li Reliability Engineering & System Safety 234, 109151, 2023 | 27 | 2023 |
| Compound fault diagnosis for rotating machinery: State-of-the-art, challenges, and opportunities R Huang, J Xia, B Zhang, Z Chen, W Li Journal of Dynamics, Monitoring and Diagnostics, 13-29, 2023 | 27 | 2023 |
| Dual-attention-based multiscale convolutional neural network with stage division for remaining useful life prediction of rolling bearings F Jiang, K Ding, G He, H Lin, Z Chen, W Li IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 23 | 2022 |
| 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 | 22 | 2023 |
Weihua LiProf. with School of Mechanical & Automotive Engineering, South China University of TechnologyDirección de correo verificada de scut.edu.cn
