| Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data R Zhu, W Peng, D Wang, CG Huang Mechanical Systems and Signal Processing 183, 109628, 2023 | 59 | 2023 |
| Bayesian deep-learning for RUL prediction: An active learning perspective R Zhu, Y Chen, W Peng, ZS Ye Reliability Engineering & System Safety 228, 108758, 2022 | 48 | 2022 |
| State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis R Zhou, R Zhu, CG Huang, W Peng Journal of Energy Storage 51, 104560, 2022 | 46 | 2022 |
| State of health estimation of lithium ion battery with uncertainty quantification based on Bayesian deep learning Y Ke, R Zhou, R Zhu, W Peng 2021 3rd International Conference on System Reliability and Safety …, 2021 | 7 | 2021 |
| Intelligent health monitoring of machine tools using a Bayesian multibranch neural network R Zhu, W Peng, Y Han, CG Huang IEEE Sensors Journal 22 (12), 12183-12196, 2022 | 5 | 2022 |
| A review of state-of-health estimation of lithiumion batteries: Experiments and data R Zhou, S Fu, W Peng 2020 Asia-Pacific International Symposium on Advanced Reliability and …, 2020 | 4 | 2020 |
| Early prediction of knee point and knee capacity for fast-charging Lithium-ion battery with uncertainty quantification and calibration Y Ke, Y Jiang, R Zhu, W Peng, X Tan IEEE Transactions on Transportation Electrification, 2023 | | 2023 |
