Shuai Zhao

Orcid: 0000-0001-7441-5434

Affiliations:
  • Aalborg University, Department of Energy Technology, Denmark
  • Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
  • University of Toronto, Department of Mechanical and Industrial Engineering, Canada (2014 - 2016)


According to our database1, Shuai Zhao authored at least 34 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Data-Efficient Motor Condition Monitoring with Time Series Foundation Models.
CoRR, November, 2025

Parallelizable Complex Neural Dynamics Models for PMSM Temperature Estimation with Hardware Acceleration.
CoRR, November, 2025

PE-TSFM: Self-Supervised Time-Series Learning for Generalizable Power Converter Health Monitoring under Unseen Conditions.
CoRR, November, 2025

Neural Dynamics Model for Temperature Estimation of Permanent Magnet Synchronous Motor.
IEEE Trans. Veh. Technol., August, 2025

Generative Physics Informed Machine Learning Method for DC-Link Capacitance Estimation.
IEEE Trans. Ind. Electron., May, 2025

2024
IoT-Aimed Health Monitoring Scheme for Power Semiconductor Devices Based on Mahalanobis Processing.
IEEE Internet Things J., April, 2024

Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries.
IEEE Trans. Intell. Veh., January, 2024

Physics-Informed LLM-Agent for Automated Modulation Design in Power Electronics Systems.
CoRR, 2024

PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design.
CoRR, 2024

2023
Hardware illustration video for the paper entitled Explainable Neural Dynamics Models for Motor Temperature Prediction.
Dataset, November, 2023

Remaining useful life with self-attention assisted physics-informed neural network.
Adv. Eng. Informatics, October, 2023

Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks.
CoRR, 2023

2022
AutoPINN: When AutoML Meets Physics-Informed Neural Networks.
CoRR, 2022

A Multivariate Time Series Anomaly Detection Method Based on Generative Model.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

2021
Health State Estimation and Remaining Useful Life Prediction of Power Devices Subject to Noisy and Aperiodic Condition Monitoring.
IEEE Trans. Instrum. Meas., 2021

A Composite Failure Precursor for Condition Monitoring and Remaining Useful Life Prediction of Discrete Power Devices.
IEEE Trans. Ind. Informatics, 2021

A generalized remaining useful life prediction method for complex systems based on composite health indicator.
Reliab. Eng. Syst. Saf., 2021

Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources.
IEEE Internet Things J., 2021

A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System.
IEEE Access, 2021

A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020
Remaining Useful Life Prediction for Complex Systems With Multiple Indicators Based on Particle Filter and Parameter Correlation.
IEEE Access, 2020

Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

2019
Health Assessment Method for Electronic Components Subject to Condition Monitoring and Hard Failure.
IEEE Trans. Instrum. Meas., 2019

A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life Prognostics.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

An Improved Particle Filter Method for Accurate Remaining Useful Life Prediction.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft Engine.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018
Evaluation of Reliability Function and Mean Residual Life for Degrading Systems Subject to Condition Monitoring and Random Failure.
IEEE Trans. Reliab., 2018

Adaptive and robust prediction for the remaining useful life of electrolytic capacitors.
Microelectron. Reliab., 2018

A New Method of Online Fault Diagnosis Based on Incremental Continuous Attribute Naive Bayesian.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2016
Research on fault feature extraction for analog circuits.
Proceedings of the 8th International Conference on Signal Processing Systems, 2016

On-line reliability assessment for an electronic system subject to condition monitoring.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016


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