| Predicting remaining useful life of rolling bearings based on deep feature representation and transfer learning W Mao, J He, MJ Zuo IEEE Transactions on Instrumentation and Measurement 69 (4), 1594-1608, 2019 | 264 | 2019 |
| Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study W Mao, J He, Y Li, Y Yan Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2017 | 119 | 2017 |
| Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network W Mao, J He, J Tang, Y Li Advances in Mechanical Engineering 10 (12), 1687814018817184, 2018 | 117 | 2018 |
| Cross-domain adaptation network based on attention mechanism for tool wear prediction J He, Y Sun, C Yin, Y He, Y Wang Journal of Intelligent Manufacturing 34 (8), 3365-3387, 2023 | 17 | 2023 |
| Prediction of bearings remaining useful life across working conditions based on transfer learning and time series clustering W Mao, J He, B Sun, L Wang IEEE Access 9, 135285-135303, 2021 | 17 | 2021 |
| Robust wheel wear detection for solid carbide grinding under strong noise interference: A new approach based on improved ensemble noise-reconstructed empirical mode decomposition C Yin, Y Wang, HP Lee, J He, Y He, Y Sun Wear 486, 204112, 2021 | 10 | 2021 |
| Online bearing fault diagnosis using support vector machine and stacked auto-encoder W Mao, S Tian, X Liang, J He 2018 IEEE International Conference on Prognostics and Health Management …, 2018 | 9 | 2018 |
| Bearing fault diagnosis based on multi-task learning W Mao, J He, W Feng, S Tian 2018 Prognostics and system health management conference (PHM-Chongqing …, 2018 | 7 | 2018 |
| Smoke recognition based on deep transfer learning W WANG, W MAO, J HE, Z DOU Journal of Computer Applications 37 (11), 3176, 2017 | 7 | 2017 |
| Deep multi-task network based on sparse feature learning for tool wear prediction J He, C Yin, Y He, Y Pan, Y Wang Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2022 | 3 | 2022 |
