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Shuai Zhao 0003
Person information
- affiliation: Aalborg University, Department of Energy Technology, Denmark
- affiliation: Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- affiliation (2014 - 2016): University of Toronto, Department of Mechanical and Industrial Engineering, Canada
Other persons with the same name
- Shuai Zhao — disambiguation page
- Shuai Zhao 0001 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Shuai Zhao 0002 — MediaTek, San Jose, CA, USA (and 1 more)
- Shuai Zhao 0004 — Sun Yat-sen University, China (and 1 more)
- Shuai Zhao 0005 — Tsinghua University, State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Beijing, China
- Shuai Zhao 0006 — Zhejiang University, College of Computer Science, Hangzhou, China
- Shuai Zhao 0007 — Jinan University, Guangzhou, China (and 1 more)
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Journal Articles
- 2024
- [j12]Yingzhou Peng, Shuai Zhao, Huai Wang:
IoT-Aimed Health Monitoring Scheme for Power Semiconductor Devices Based on Mahalanobis Processing. IEEE Internet Things J. 11(7): 11246-11258 (2024) - [j11]Pengfei Wen, Zhisheng Ye, Yong Li, Shaowei Chen, Pu Xie, Shuai Zhao:
Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries. IEEE Trans. Intell. Veh. 9(1): 2276-2289 (2024) - 2023
- [j10]Xinyuan Liao, Shaowei Chen, Pengfei Wen, Shuai Zhao:
Remaining useful life with self-attention assisted physics-informed neural network. Adv. Eng. Informatics 58: 102195 (2023) - 2021
- [j9]Shaowei Chen, Meng Wu, Pengfei Wen, Fangda Xu, Shengyue Wang, Shuai Zhao:
A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System. IEEE Access 9: 28842-28855 (2021) - [j8]Pengfei Wen, Yong Li, Shaowei Chen, Shuai Zhao:
Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources. IEEE Internet Things J. 8(11): 9045-9058 (2021) - [j7]Pengfei Wen, Shuai Zhao, Shaowei Chen, Yong Li:
A generalized remaining useful life prediction method for complex systems based on composite health indicator. Reliab. Eng. Syst. Saf. 205: 107241 (2021) - [j6]Shuai Zhao, Shaowei Chen, Fei Yang, Enes Ugur, Bilal Akin, Huai Wang:
A Composite Failure Precursor for Condition Monitoring and Remaining Useful Life Prediction of Discrete Power Devices. IEEE Trans. Ind. Informatics 17(1): 688-698 (2021) - [j5]Shuai Zhao, Yingzhou Peng, Fei Yang, Enes Ugur, Bilal Akin, Huai Wang:
Health State Estimation and Remaining Useful Life Prediction of Power Devices Subject to Noisy and Aperiodic Condition Monitoring. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - 2020
- [j4]Shaowei Chen, Meinan Wang, Dengshan Huang, Pengfei Wen, Shengyue Wang, Shuai Zhao:
Remaining Useful Life Prediction for Complex Systems With Multiple Indicators Based on Particle Filter and Parameter Correlation. IEEE Access 8: 215145-215156 (2020) - 2019
- [j3]Shuai Zhao, Viliam Makis, Shaowei Chen, Yong Li:
Health Assessment Method for Electronic Components Subject to Condition Monitoring and Hard Failure. IEEE Trans. Instrum. Meas. 68(1): 138-150 (2019) - 2018
- [j2]Qi Qin, Shuai Zhao, Shaowei Chen, Dengshan Huang, Jian Liang:
Adaptive and robust prediction for the remaining useful life of electrolytic capacitors. Microelectron. Reliab. 87: 64-74 (2018) - [j1]Shuai Zhao, Viliam Makis, Shaowei Chen, Yong Li:
Evaluation of Reliability Function and Mean Residual Life for Degrading Systems Subject to Condition Monitoring and Random Failure. IEEE Trans. Reliab. 67(1): 13-25 (2018)
Conference and Workshop Papers
- 2022
- [c11]Shaowei Chen, Fangda Xu, Pengfei Wen, Shuaiwen Feng, Shuai Zhao:
A Multivariate Time Series Anomaly Detection Method Based on Generative Model. ICPHM 2022: 137-144 - 2021
- [c10]Shaowei Chen, Shengyue Wang, Pengfei Wen, Shuai Zhao:
Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization. ICPHM 2021: 1-9 - [c9]Shaowei Chen, Fangda Xu, Shengyue Wang, Yanping Huang, Pengfei Wen, Dengshan Huang, Shuai Zhao:
A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things. ICPHM 2021: 1-8 - [c8]Dengshan Huang, Rui Bai, Shuai Zhao, Pengfei Wen, Jiawei He, Shengyue Wang, Shaowei Chen:
A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification. ICPHM 2021: 1-8 - 2020
- [c7]Dengshan Huang, Rui Bai, Shuai Zhao, Pengfei Wen, Shengyue Wang, Shaowei Chen:
Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine. ICPHM 2020: 1-8 - 2019
- [c6]Shaowei Chen, Meng Wu, Shuai Zhao, Pengfei Wen, Dengshan Huang, Yan Wang:
A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft Engine. ICPHM 2019: 1-7 - [c5]Dengshan Huang, Meinan Wang, Shuai Zhao, Pengfei Wen, Shaowei Chen, Zhi Dou:
An Improved Particle Filter Method for Accurate Remaining Useful Life Prediction. ICPHM 2019: 1-8 - [c4]Pengfei Wen, Shaowei Chen, Shuai Zhao, Yong Li, Yan Wang, Zhi Dou:
A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life Prognostics. ICPHM 2019: 1-8 - 2018
- [c3]Mengting Li, Shuai Zhao, Shaowei Chen, Dengshan Huang:
A New Method of Online Fault Diagnosis Based on Incremental Continuous Attribute Naive Bayesian. ICPHM 2018: 1-7 - 2016
- [c2]Shuai Zhao, Viliam Makis, Shaowei Chen, Yong Li:
On-line reliability assessment for an electronic system subject to condition monitoring. ICPHM 2016: 1-6 - [c1]Lihua Zhang, Yue Shang, Qi Qin, Shaowei Chen, Shuai Zhao:
Research on fault feature extraction for analog circuits. ICSPS 2016: 173-177
Data and Artifacts
- 2023
- [d1]Shuai Zhao:
Hardware illustration video for the paper entitled Explainable Neural Dynamics Models for Motor Temperature Prediction. IEEE DataPort, 2023
Informal and Other Publications
- 2023
- [i2]Pengfei Wen, Zhi-Sheng Ye, Yong Li, Shaowei Chen, Shuai Zhao:
Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks. CoRR abs/2301.00776 (2023) - 2022
- [i1]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang:
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR abs/2212.04058 (2022)
Coauthor Index
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last updated on 2024-12-23 20:35 CET by the dblp team
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