Yizhen Peng
Orcid: 0000-0002-4385-6779
According to our database1,
Yizhen Peng
authored at least 15 papers
between 2015 and 2023.
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Bibliography
2023
Adaptive ensemble gaussian process regression-driven degradation prognosis with applications to bearing degradation.
Reliab. Eng. Syst. Saf., November, 2023
A general time-varying Wiener process for degradation modeling and RUL estimation under three-source variability.
Reliab. Eng. Syst. Saf., April, 2023
IEEE Trans. Instrum. Meas., 2023
Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
2022
New Data Augmentation-Driven RUL Prognosis Approach for Cumulative Damage Model Using Incomplete Observations.
IEEE Trans. Instrum. Meas., 2022
Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification.
Sensors, 2022
2021
Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD.
IEEE Trans. Ind. Informatics, 2021
Doubly Stochastic Cumulative Damage Model for RUL Prediction of HDDs in Uncertain Operating Environments.
IEEE Trans. Ind. Electron., 2021
2020
Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions.
Reliab. Eng. Syst. Saf., 2020
2019
Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life.
IEEE Trans. Ind. Informatics, 2019
Adaptive Remaining Useful Lifetime Prediction of Magnetic Head under Varying Stress Conditions.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2017
Dynamic reliability assessment and prediction for repairable systems with interval-censored data.
Reliab. Eng. Syst. Saf., 2017
2016
IEEE Trans. Ind. Informatics, 2016
2015
An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015