| A two-stage data-driven-based prognostic approach for bearing degradation problem Y Wang, Y Peng, Y Zi, X Jin, KL Tsui IEEE Transactions on industrial informatics 12 (3), 924-932, 2016 | 316 | 2016 |
| Switching state-space degradation model with recursive filter/smoother for prognostics of remaining useful life Y Peng, Y Wang, Y Zi IEEE Transactions on Industrial Informatics 15 (2), 822-832, 2018 | 60 | 2018 |
| Weak fault detection and health degradation monitoring using customized standard multiwavelets J Yuan, Y Wang, Y Peng, C Wei Mechanical Systems and Signal Processing 94, 384-399, 2017 | 46 | 2017 |
| Remaining useful life prediction method for bearings based on LSTM with uncertainty quantification J Yang, Y Peng, J Xie, P Wang Sensors 22 (12), 4549, 2022 | 35 | 2022 |
| Dynamic reliability assessment and prediction for repairable systems with interval-censored data Y Peng, Y Wang, YY Zi, KL Tsui, C Zhang Reliability Engineering & System Safety 159, 301-309, 2017 | 26 | 2017 |
| A novel bearing imbalance Fault-diagnosis method based on a Wasserstein conditional generative adversarial network Y Peng, Y Wang, Y Shao Measurement 192, 110924, 2022 | 24 | 2022 |
| A general time-varying Wiener process for degradation modeling and RUL estimation under three-source variability Y Wang, Q Liu, W Lu, Y Peng Reliability Engineering & System Safety 232, 109041, 2023 | 12 | 2023 |
| Adaptive particle filter-based approach for rul prediction under uncertain varying stresses with application to hdd Y Wang, Y Peng, TWS Chow IEEE Transactions on Industrial Informatics 17 (9), 6272-6281, 2021 | 12 | 2021 |
| A new concept of instantaneous whirling speed for cracked rotor’s axis orbit J Xie, J Chen, Y Peng, Y Zi Applied Sciences 9 (19), 4120, 2019 | 9 | 2019 |
| The instability of angstrom-scale head-disk interface induced by electrostatic force Y Wang, X Wei, X Liang, S Yin, Y Zi, Y Peng, KL Tsui IEEE Transactions on Magnetics 51 (11), 1-4, 2015 | 9 | 2015 |
| An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem Y Wang, Y Peng, Y Zi, X Jin, KL Tsui 2015 ieee 13th international conference on industrial informatics (indin …, 2015 | 8 | 2015 |
| Hard disk drives failure detection using a dynamic tracking method Y Wang, S Jiang, L He, Y Peng, TWS Chow 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 6 | 2019 |
| Adaptive ensemble gaussian process regression-driven degradation prognosis with applications to bearing degradation WJ Hou, Y Peng Reliability Engineering & System Safety 239, 109479, 2023 | 4 | 2023 |
| Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions P Yizhen, W Yu, X Jingsong, Z Yanyang Reliability Engineering & System Safety 204, 107190, 2020 | 4 | 2020 |
| Influence of rotation speed on motion accuracy of hydrostatic journal bearing P Zhang, Y Peng Nonlinear Dynamics 105, 2959-2980, 2021 | 3 | 2021 |
| Doubly stochastic cumulative damage model for RUL prediction of HDDs in uncertain operating environments Y Peng, Y Wang, G Wang, KL Tsui IEEE Transactions on Industrial Electronics 68 (9), 8743-8752, 2020 | 3 | 2020 |
| A similarity-based remaining useful life prediction method using multimodal degradation features and adjusted cosine similarity C Kong, W Yu, Q Zeng, Z Chen, Y Peng Measurement Science and Technology 34 (10), 105112, 2023 | 1 | 2023 |
| New data augmentation-driven RUL prognosis approach for cumulative damage model using incomplete observations Y Peng, Y Wang, Y Shao IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2021 | 1 | 2021 |
| Adaptive remaining useful lifetime prediction of magnetic head under varying stress conditions Y Peng, Y Wang, TWS Chow 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 1 | 2019 |
| Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks X Chen, W Hou, Y Peng International Conference on Neural Computing for Advanced Applications, 318-329, 2023 | | 2023 |
