An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem. - Yu Wang 043; Yizhen Peng; Yanyang Zi; Xiaohang Jin; Kwok-Leung Tsui (INDIN, 2015)

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem. - Yu Wang 043; Yizhen Peng; Yanyang Zi; Xiaohang Jin; Kwok-Leung Tsui (IEEE Trans. Ind. Informatics, 2016)

Dynamic reliability assessment and prediction for repairable systems with interval-censored data. - Yizhen Peng; Yu Wang 043; Yanyang Zi; Kwok-Leung Tsui; Chuhua Zhang (Reliab. Eng. Syst. Saf., 2017)

Hard Disk Drives Failure Detection Using A Dynamic Tracking Method. - Yu Wang 043; Shan Jiang; Long He; Yizhen Peng; Tommy W. S. Chow (INDIN, 2019)

Adaptive Remaining Useful Lifetime Prediction of Magnetic Head under Varying Stress Conditions. - Yizhen Peng; Yu Wang 043; Tommy W. S. Chow (INDIN, 2019)

Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life. - Yizhen Peng; Yu Wang 043; Yanyang Zi (IEEE Trans. Ind. Informatics, 2019)

Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions. - Yizhen Peng; Yu Wang 043; Jingsong Xie; Yanyang Zi (Reliab. Eng. Syst. Saf., 2020)

Doubly Stochastic Cumulative Damage Model for RUL Prediction of HDDs in Uncertain Operating Environments. - Yizhen Peng; Yu Wang 043; Guochao Wang; Kwok-Leung Tsui (IEEE Trans. Ind. Electron., 2021)

Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD. - Yu Wang 043; Yizhen Peng; Tommy W. S. Chow (IEEE Trans. Ind. Informatics, 2021)

Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification. - Jinsong Yang; Yizhen Peng; Jingsong Xie; Pengxi Wang (Sensors, 2022)

New Data Augmentation-Driven RUL Prognosis Approach for Cumulative Damage Model Using Incomplete Observations. - Yizhen Peng; Yu Wang 043; Yimin Shao (IEEE Trans. Instrum. Meas., 2022)

Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks. - Xusheng Chen; Wanjun Hou; Yizhen Peng (NCAA (2), 2023)

Regime-Switching Model With Adaptive Adjustments for Degradation Prognosis. - Yizhen Peng; Ran Bi 004; Yu Wang 043 (IEEE Trans. Instrum. Meas., 2023)

A general time-varying Wiener process for degradation modeling and RUL estimation under three-source variability. - Yu Wang 043; Qiufa Liu; Wenjian Lu; Yizhen Peng (Reliab. Eng. Syst. Saf., 2023)

Adaptive ensemble gaussian process regression-driven degradation prognosis with applications to bearing degradation. - Wanjun Hou; Yizhen Peng (Reliab. Eng. Syst. Saf., 2023)

Enhancing bearing life prediction: Sparse Gaussian process regression approach based on sequential ensemble and residual reduction for degradation prediction. - Wanjun Hou; Yizhen Peng (Reliab. Eng. Syst. Saf., 2025)

Knowledge-embedding deep interpretable graph model for wear prediction: Application in pantograph-catenary systems. - Yutao Mo; Yizhen Peng; Jing Wu; Kangbo Fan (Reliab. Eng. Syst. Saf., 2025)