| Artificial intelligence for fault diagnosis of rotating machinery: A review R Liu, B Yang, E Zio, X Chen Mechanical Systems and Signal Processing 108, 33-47, 2018 | 1789 | 2018 |
| Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine R Liu, G Meng, B Yang, C Sun, X Chen IEEE Transactions on Industrial Informatics 13 (3), 1310-1320, 2016 | 340 | 2016 |
| Remaining useful life prediction based on a double-convolutional neural network architecture B Yang, R Liu, E Zio IEEE Transactions on Industrial Electronics 66 (12), 9521-9530, 2019 | 306 | 2019 |
| Multiscale kernel based residual convolutional neural network for motor fault diagnosis under nonstationary conditions R Liu, F Wang, B Yang, SJ Qin IEEE Transactions on Industrial Informatics 16 (6), 3797-3806, 2019 | 260 | 2019 |
| Fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD B Yang, R Liu, X Chen IEEE Transactions on Industrial Informatics 13 (3), 1321-1331, 2017 | 203 | 2017 |
| Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis R Liu, B Yang, X Zhang, S Wang, X Chen Mechanical Systems and Signal Processing 75, 345-370, 2016 | 174 | 2016 |
| Simultaneous bearing fault recognition and remaining useful life prediction using joint-loss convolutional neural network R Liu, B Yang, AG Hauptmann IEEE Transactions on industrial informatics 16 (1), 87-96, 2019 | 153 | 2019 |
| Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction B Qiao, X Zhang, J Gao, R Liu, X Chen Mechanical Systems and Signal Processing 83, 93-115, 2017 | 115 | 2017 |
| The application of cubic B-spline collocation method in impact force identification B Qiao, X Chen, X Xue, X Luo, R Liu Mechanical Systems and Signal Processing 64, 413-427, 2015 | 90 | 2015 |
| Sparse time-frequency representation for incipient fault diagnosis of wind turbine drive train B Yang, R Liu, X Chen IEEE Transactions on Instrumentation and Measurement 67 (11), 2616-2627, 2018 | 82 | 2018 |
| Task-sequencing meta learning for intelligent few-shot fault diagnosis with limited data Y Hu, R Liu, X Li, D Chen, Q Hu IEEE Transactions on Industrial Informatics 18 (6), 3894-3904, 2021 | 72 | 2021 |
| Cascade convolutional neural network with progressive optimization for motor fault diagnosis under nonstationary conditions F Wang, R Liu, Q Hu, X Chen IEEE Transactions on Industrial Informatics 17 (4), 2511-2521, 2020 | 70 | 2020 |
| Interaction-aware graph neural networks for fault diagnosis of complex industrial processes D Chen, R Liu, Q Hu, SX Ding IEEE Transactions on neural networks and learning systems 34 (9), 6015-6028, 2021 | 58 | 2021 |
| Coarse-to-fine: Progressive knowledge transfer-based multitask convolutional neural network for intelligent large-scale fault diagnosis Y Wang, R Liu, D Lin, D Chen, P Li, Q Hu, CLP Chen IEEE Transactions on Neural Networks and Learning Systems 34 (2), 761-774, 2021 | 47 | 2021 |
| Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases Q Chen, W Tu, R Liu, X Chen Journal of Intelligent Material Systems and Structures 29 (4), 530-552, 2018 | 24 | 2018 |
| Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition H Chen, R Liu, Z Xie, Q Hu, J Dai, J Zhai Pattern Recognition 123, 108383, 2022 | 17 | 2022 |
| A two-stage transfer regression convolutional neural network for bearing remaining useful life prediction X Li, K Zhang, W Li, Y Feng, R Liu Machines 10 (5), 369, 2022 | 11 | 2022 |
| Causal-trivial attention graph neural network for fault diagnosis of complex industrial processes H Wang, R Liu, SX Ding, Q Hu, Z Li, H Zhou IEEE Transactions on Industrial Informatics, 2023 | 5 | 2023 |
| LSTM-based multi-task method for remaining useful life prediction under corrupted sensor data K Zhang, R Liu Machines 11 (3), 341, 2023 | 5 | 2023 |
| Self-supervised contrastive learning approach for bearing fault diagnosis with rare labeled data J Chen, B Yang, R Liu 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE …, 2022 | 5 | 2022 |
