| A generalized remaining useful life prediction method for complex systems based on composite health indicator P Wen, S Zhao, S Chen, Y Li Reliability Engineering & System Safety 205, 107241, 2021 | 99 | 2021 |
| Remaining useful life prediction of IIoT-enabled complex industrial systems with hybrid fusion of multiple information sources P Wen, Y Li, S Chen, S Zhao IEEE Internet of Things Journal 8 (11), 9045-9058, 2021 | 40 | 2021 |
| Digital twin for degradation parameters identification of dc-dc converters based on bayesian optimization S Chen, S Wang, P Wen, S Zhao 2021 IEEE International Conference on Prognostics and Health Management …, 2021 | 19 | 2021 |
| Bayesian neural network based method of remaining useful life prediction and uncertainty quantification for aircraft engine D Huang, R Bai, S Zhao, P Wen, S Wang, S Chen 2020 IEEE International Conference on Prognostics and Health Management …, 2020 | 15 | 2020 |
| Physics-informed neural networks for prognostics and health management of lithium-ion batteries P Wen, ZS Ye, Y Li, S Chen, P Xie, S Zhao IEEE Transactions on Intelligent Vehicles, 2023 | 13 | 2023 |
| Remaining useful life with self-attention assisted physics-informed neural network X Liao, S Chen, P Wen, S Zhao Advanced Engineering Informatics 58, 102195, 2023 | 12 | 2023 |
| Remaining useful life prediction for complex systems with multiple indicators based on particle filter and parameter correlation S Chen, M Wang, D Huang, P Wen, S Wang, S Zhao IEEE Access 8, 215145-215156, 2020 | 11 | 2020 |
| A hybrid bayesian deep learning model for remaining useful life prognostics and uncertainty quantification D Huang, R Bai, S Zhao, P Wen, J He, S Wang, S Chen 2021 IEEE International Conference on Prognostics and Health Management …, 2021 | 7 | 2021 |
| A data fusion-based methodology of constructing health indicators for anomaly detection and prognostics S Chen, P Wen, S Zhao, D Huang, M Wu, Y Zhang 2018 International Conference on Sensing, Diagnostics, Prognostics, and …, 2018 | 7 | 2018 |
| Fusing models for prognostics and health management of lithium-ion batteries based on physics-informed neural networks P Wen, ZS Ye, Y Li, S Chen, S Zhao arXiv preprint arXiv:2301.00776, 2023 | 5 | 2023 |
| Circuit parameter identification of degrading DC-DC converters based on physics-informed neural network S Chen, J Zhang, S Wang, P Wen, S Zhao 2022 Prognostics and Health Management Conference (PHM-2022 London), 260-268, 2022 | 4 | 2022 |
| A multimode anomaly detection method based on oc-elm for aircraft engine system S Chen, M Wu, P Wen, F Xu, S Wang, S Zhao IEEE Access 9, 28842-28855, 2021 | 3 | 2021 |
| Remaining useful life prediction method based on convolutional neural network and long short-term memory neural network K Zhao, J Zhang, S Chen, P Wen, W Ping, S Zhao 2023 Prognostics and Health Management Conference (PHM), 336-343, 2023 | 2 | 2023 |
| A Fault Diagnosis Platform of Actuators on Embedded IoT Microcontrollers S Chen, Y Huang, P Wen, C Gu, S Zhao 2022 Prognostics and Health Management Conference (PHM-2022 London), 210-217, 2022 | 2 | 2022 |
| A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things S Chen, F Xu, S Wang, Y Huang, P Wen, D Huang, S Zhao 2021 IEEE International Conference on Prognostics and Health Management …, 2021 | 2 | 2021 |
| Fault diagnosis method of analog circuit based on GA-OS-ELM P Zhang, Y Huang, M Li, Y Wang, P Wen, S Wang, S Chen 2020 International Conference on Sensing, Diagnostics, Prognostics, and …, 2020 | 2 | 2020 |
| Research of system fault diagnosis method based on imbalanced data QY Zhu, H Liu, J Wang, S Chen, P Wen, S Wang 2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-5, 2019 | 2 | 2019 |
| Remaining Useful Life Prognostics and Uncertainty Quantification for Aircraft Engines Based on Convolutional Bayesian Long Short-Term Memory Neural Network S Chen, J He, P Wen, J Zhang, D Huang, S Zhao 2023 Prognostics and Health Management Conference (PHM), 238-244, 2023 | 1 | 2023 |
| Remaining useful life prediction of electromechanical equipment based on particle filter and LSTM N Yang, C Gu, Y Huang, P Wen, S Zhao, S Feng, S Chen 2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and …, 2022 | 1 | 2022 |
| Bayes-OS-ELM: An novel ensemble method for classification application Q Zhu, R Bai, M Li, S Chen, P Wen 2019 International Conference on Sensing, Diagnostics, Prognostics, and …, 2019 | 1 | 2019 |
Shuai ZhaoAssistant Professor, SMIEEE, AAU Energy, Aalborg University在 et.aau.dk 的电子邮件经过验证
Shuai ZhaoAssistant Professor, SMIEEE, AAU Energy, Aalborg University在 et.aau.dk 的电子邮件经过验证