On-line reliability assessment for an electronic system subject to condition monitoring. - Shuai Zhao 003; Viliam Makis; Shaowei Chen; Yong Li 036 (ICPHM, 2016)

Research on fault feature extraction for analog circuits. - Lihua Zhang; Yue Shang; Qi Qin; Shaowei Chen; Shuai Zhao 003 (ICSPS, 2016)

A New Method of Online Fault Diagnosis Based on Incremental Continuous Attribute Naive Bayesian. - Mengting Li; Shuai Zhao 003; Shaowei Chen; Dengshan Huang (ICPHM, 2018)

Adaptive and robust prediction for the remaining useful life of electrolytic capacitors. - Qi Qin; Shuai Zhao 003; Shaowei Chen; Dengshan Huang; Jian Liang (Microelectron. Reliab., 2018)

Evaluation of Reliability Function and Mean Residual Life for Degrading Systems Subject to Condition Monitoring and Random Failure. - Shuai Zhao 003; Viliam Makis; Shaowei Chen; Yong Li 036 (IEEE Trans. Reliab., 2018)

A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft Engine. - Shaowei Chen; Meng Wu; Shuai Zhao 003; Pengfei Wen; Dengshan Huang; Yan Wang (ICPHM, 2019)

An Improved Particle Filter Method for Accurate Remaining Useful Life Prediction. - Dengshan Huang; Meinan Wang; Shuai Zhao 003; Pengfei Wen; Shaowei Chen; Zhi Dou (ICPHM, 2019)

A Novel Bayesian Update Method for Parameter Reconstruction of Remaining Useful Life Prognostics. - Pengfei Wen; Shaowei Chen; Shuai Zhao 003; Yong Li 036; Yan Wang; Zhi Dou (ICPHM, 2019)

Health Assessment Method for Electronic Components Subject to Condition Monitoring and Hard Failure. - Shuai Zhao 003; Viliam Makis; Shaowei Chen; Yong Li 036 (IEEE Trans. Instrum. Meas., 2019)

Bayesian Neural Network Based Method of Remaining Useful Life Prediction and Uncertainty Quantification for Aircraft Engine. - Dengshan Huang; Rui Bai 006; Shuai Zhao 003; Pengfei Wen; Shengyue Wang; Shaowei Chen (ICPHM, 2020)

Remaining Useful Life Prediction for Complex Systems With Multiple Indicators Based on Particle Filter and Parameter Correlation. - Shaowei Chen; Meinan Wang; Dengshan Huang; Pengfei Wen; Shengyue Wang; Shuai Zhao 003 (IEEE Access, 2020)

Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization. - Shaowei Chen; Shengyue Wang; Pengfei Wen; Shuai Zhao 003 (ICPHM, 2021)

A Smart Agricultural Monitoring System Based on Cloud Platform of Internet of Things. - Shaowei Chen; Fangda Xu; Shengyue Wang; Yanping Huang; Pengfei Wen; Dengshan Huang; Shuai Zhao 003 (ICPHM, 2021)

A Hybrid Bayesian Deep Learning Model for Remaining Useful Life Prognostics and Uncertainty Quantification. - Dengshan Huang; Rui Bai 006; Shuai Zhao 003; Pengfei Wen; Jiawei He; Shengyue Wang; Shaowei Chen (ICPHM, 2021)

A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System. - Shaowei Chen; Meng Wu; Pengfei Wen; Fangda Xu; Shengyue Wang; Shuai Zhao 003 (IEEE Access, 2021)

Remaining Useful Life Prediction of IIoT-Enabled Complex Industrial Systems With Hybrid Fusion of Multiple Information Sources. - Pengfei Wen; Yong Li 036; Shaowei Chen; Shuai Zhao 003 (IEEE Internet Things J., 2021)

A generalized remaining useful life prediction method for complex systems based on composite health indicator. - Pengfei Wen; Shuai Zhao 003; Shaowei Chen; Yong Li 036 (Reliab. Eng. Syst. Saf., 2021)

A Composite Failure Precursor for Condition Monitoring and Remaining Useful Life Prediction of Discrete Power Devices. - Shuai Zhao 003; Shaowei Chen; Fei Yang 006; Enes Ugur; Bilal Akin; Huai Wang (IEEE Trans. Ind. Informatics, 2021)

Health State Estimation and Remaining Useful Life Prediction of Power Devices Subject to Noisy and Aperiodic Condition Monitoring. - Shuai Zhao 003; Yingzhou Peng; Fei Yang 006; Enes Ugur; Bilal Akin; Huai Wang (IEEE Trans. Instrum. Meas., 2021)

A Multivariate Time Series Anomaly Detection Method Based on Generative Model. - Shaowei Chen; Fangda Xu; Pengfei Wen; Shuaiwen Feng; Shuai Zhao 003 (ICPHM, 2022)

AutoPINN: When AutoML Meets Physics-Informed Neural Networks. - Xinle Wu; Dalin Zhang 001; Miao Zhang; Chenjuan Guo; Shuai Zhao 003; Yi Zhang; Huai Wang; Bin Yang 002 (CoRR, 2022)

Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks. - Pengfei Wen; Zhi-Sheng Ye 001; Yong Li 036; Shaowei Chen; Shuai Zhao 003 (CoRR, 2023)

Remaining useful life with self-attention assisted physics-informed neural network. - Xinyuan Liao; Shaowei Chen; Pengfei Wen; Shuai Zhao 003 (Adv. Eng. Informatics, 2023)

Hardware illustration video for the paper entitled Explainable Neural Dynamics Models for Motor Temperature Prediction. - Shuai Zhao 003 (IEEE DataPort, 2023)

Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries. - Pengfei Wen; Zhisheng Ye 001; Yong Li 036; Shaowei Chen; Pu Xie; Shuai Zhao 003 (IEEE Trans. Intell. Veh., 2024)

IoT-Aimed Health Monitoring Scheme for Power Semiconductor Devices Based on Mahalanobis Processing. - Yingzhou Peng; Shuai Zhao 003; Huai Wang (IEEE Internet Things J., 2024)

Generative Physics Informed Machine Learning Method for DC-Link Capacitance Estimation. - Tianhao Qie; Xinan Zhang 001; Chaoqun Xiang; Shuai Zhao 003; Chaoqiang Jiang; Herbert H. C. Iu; Tyrone Fernando (IEEE Trans. Ind. Electron., 2025)