| 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 | 903 | 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 | 609 | 2022 |
| State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network F Yang, W Li, C Li, Q Miao Energy 175, 66-75, 2019 | 458 | 2019 |
| 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 | 403 | 2020 |
| State-of-charge estimation of lithium-ion batteries using LSTM and UKF F Yang, S Zhang, W Li, Q Miao Energy 201, 117664, 2020 | 367 | 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 | 343 | 2019 |
| Bearing performance degradation assessment using long short-term memory recurrent network B Zhang, S Zhang, W Li Computers in Industry 106, 14-29, 2019 | 323 | 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 | 297 | 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 | 244 | 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 | 184 | 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 | 166 | 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 | 129 | 2022 |
| 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 | 123 | 2023 |
| 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 | 121 | 2020 |
| Semisupervised distance-preserving self-organizing map for machine-defect detection and classification W Li, S Zhang, G He IEEE Transactions on Instrumentation and Measurement 62 (5), 869-879, 2013 | 113 | 2013 |
| 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 | 111 | 2020 |
| 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 | 110 | 2022 |
Zhuyun Chen / 陈祝云School of ElectroMechanical Engineering, Guangdong University of TechnologyBestätigte E-Mail-Adresse bei gdut.edu.cn
