| Machinery health prognostics: A systematic review from data acquisition to RUL prediction Y Lei, N Li, L Guo, N Li, T Yan, J Lin Mechanical systems and signal processing 104, 799-834, 2018 | 2357 | 2018 |
| A recurrent neural network based health indicator for remaining useful life prediction of bearings L Guo, N Li, F Jia, Y Lei, J Lin Neurocomputing 240, 98-109, 2017 | 1255 | 2017 |
| Deep convolutional transfer learning network: A new method for intelligent fault diagnosis of machines with unlabeled data L Guo, Y Lei, S Xing, T Yan, N Li IEEE Transactions on Industrial Electronics 66 (9), 7316-7325, 2018 | 1146 | 2018 |
| A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines F Jia, Y Lei, L Guo, J Lin, S Xing Neurocomputing 272, 619-628, 2018 | 553 | 2018 |
| A new bearing fault diagnosis method based on modified convolutional neural networks J Zhang, S Yi, GUO Liang, GAO Hongli, H Xin, S Hongliang Chinese Journal of Aeronautics 33 (2), 439-447, 2020 | 290 | 2020 |
| Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery B Wang, Y Lei, T Yan, N Li, L Guo Neurocomputing 379, 117-129, 2020 | 287 | 2020 |
| Machinery health indicator construction based on convolutional neural networks considering trend burr L Guo, Y Lei, N Li, T Yan, N Li Neurocomputing 292, 142-150, 2018 | 281 | 2018 |
| YOLO-SLAM: A semantic SLAM system towards dynamic environment with geometric constraint W Wu, L Guo, H Gao, Z You, Y Liu, Z Chen Neural Computing and Applications, 1-16, 2022 | 155 | 2022 |
| Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review Y Liu, L Guo, H Gao, Z You, Y Ye, B Zhang Mechanical Systems and Signal Processing 164, 108068, 2022 | 139 | 2022 |
| Multifeatures fusion and nonlinear dimension reduction for intelligent bearing condition monitoring L Guo, H Gao, H Huang, X He, SC Li Shock and Vibration 2016 (1), 4632562, 2016 | 125 | 2016 |
| Remaining useful life prediction based on a general expression of stochastic process models N Li, Y Lei, L Guo, T Yan, J Lin IEEE Transactions on Industrial Electronics 64 (7), 5709-5718, 2017 | 115 | 2017 |
| Deep focus parallel convolutional neural network for imbalanced classification of machinery fault diagnostics A Duan, L Guo, H Gao, X Wu, X Dong IEEE Transactions on Instrumentation and Measurement 69 (11), 8680-8689, 2020 | 99 | 2020 |
| An unsupervised feature learning based health indicator construction method for performance assessment of machines L Guo, Y Yu, A Duan, H Gao, J Zhang Mechanical Systems and Signal Processing 167, 108573, 2022 | 79 | 2022 |
| Similarity-measured isolation forest: Anomaly detection method for machine monitoring data C Li, L Guo, H Gao, Y Li IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 78 | 2021 |
| Online remaining useful life prediction of milling cutters based on multisource data and feature learning L Guo, Y Yu, H Gao, T Feng, Y Liu IEEE Transactions on Industrial Informatics 18 (8), 5199-5208, 2021 | 72 | 2021 |
| Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw L Zhang, L Guo, H Gao, D Dong, G Fu, X Hong Mechanical Systems and Signal Processing 140, 106681, 2020 | 71 | 2020 |
| FedCAE: A new federated learning framework for edge-cloud collaboration based machine fault diagnosis Y Yu, L Guo, H Gao, Y He, Z You, A Duan IEEE Transactions on Industrial Electronics 71 (4), 4108-4119, 2023 | 63 | 2023 |
| FedRUL: A new federated learning method for edge-cloud collaboration based remaining useful life prediction of machines L Guo, Y Yu, M Qian, R Zhang, H Gao, Z Cheng IEEE/ASME Transactions on Mechatronics 28 (1), 350-359, 2022 | 62 | 2022 |
| On-line milling cutter wear monitoring in a wide field-of-view camera Z You, H Gao, L Guo, Y Liu, J Li Wear 460, 203479, 2020 | 56 | 2020 |
| Pareto-optimal adaptive loss residual shrinkage network for imbalanced fault diagnostics of machines Y Yu, L Guo, H Gao, Y Liu, T Feng IEEE Transactions on Industrial Informatics 18 (4), 2233-2243, 2021 | 53 | 2021 |