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Weiwen Peng
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2020 – today
- 2025
- [j28]Rong Zhu
, Weiwen Peng
Collaborative Prognostics of Lithium-Ion Batteries Using Federated Learning With Dynamic Weighting and Attention Mechanism. IEEE Trans. Ind. Electron. 72(1): 980-991 (2025) - 2024
- [j27]Cheng-Geng Huang
Personalized Federated Transfer Learning for Cycle-Life Prediction of Lithium-Ion Batteries in Heterogeneous Clients With Data Privacy Protection. IEEE Internet Things J. 11(22): 36895-36906 (2024) - [j26]Yuqi Ke, Mingzhu Long, Fangfang Yang, Weiwen Peng:
A Bayesian deep learning pipeline for lithium-ion battery SOH estimation with uncertainty quantification. Qual. Reliab. Eng. Int. 40(1): 406-427 (2024) - [j25]Weiwen Peng, Ancha Xu, Jiawen Hu:
Advances and novel applications in systems reliability and safety engineering (selected papers of the International Conference of SRSE 2022). Qual. Reliab. Eng. Int. 40(6): 2955-2958 (2024) - [j24]Yiyue Jiang
State of Health Estimation for Second-Life Lithium-Ion Batteries in Energy Storage System With Partial Charging-Discharging Workloads. IEEE Trans. Ind. Electron. 71(10): 13178-13188 (2024) - [j23]Yi Ding
A Semi-Supervised Failure Knowledge Graph Construction Method for Decision Support in Operations and Maintenance. IEEE Trans. Ind. Informatics 20(3): 3104-3114 (2024) - [j22]Weiwen Peng
Collaborative Online RUL Prediction of Multiple Assets With Analytically Recursive Bayesian Inference. IEEE Trans. Reliab. 73(1): 506-520 (2024) - 2023
- [b1]He Li
Intelligent Reliability and Maintainability of Energy Infrastructure Assets. Springer 2023, ISBN 978-3-031-29961-2, pp. 1-148 - 2022
- [j21]Yan-Feng Li
Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability. Ann. Oper. Res. 311(1): 195-209 (2022) - [j20]Junyu Guo, Yan-Feng Li
Bayesian information fusion method for reliability analysis with failure-time data and degradation data. Qual. Reliab. Eng. Int. 38(4): 1944-1956 (2022) - [j19]Yi Ding
Degradation analysis with nonlinear exponential-dispersion process: Bayesian offline and online perspectives. Qual. Reliab. Eng. Int. 38(7): 3844-3866 (2022) - [j18]Rong Zhu
Bayesian deep-learning for RUL prediction: An active learning perspective. Reliab. Eng. Syst. Saf. 228: 108758 (2022) - [j17]He Li
A reliable probabilistic risk-based decision-making method: Bayesian Technique for Order of Preference by Similarity to Ideal Solution (B-TOPSIS). Soft Comput. 26(22): 12137-12153 (2022) - 2020
- [j16]Weiwen Peng
Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty. IEEE Trans. Ind. Electron. 67(3): 2283-2293 (2020) - [c1]Cheng-Geng Huang, Hong-Zhong Huang, Yan-Feng Li, Weiwen Peng:
Fault prognosis using deep convolutional neural network and bootstrap-based method. INDIN 2020: 742-749
2010 – 2019
- 2019
- [j15]Jun Zhu
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network. IEEE Trans. Ind. Electron. 66(4): 3208-3216 (2019) - [j14]Weiwen Peng
Joint Online RUL Prediction for Multivariate Deteriorating Systems. IEEE Trans. Ind. Informatics 15(5): 2870-2878 (2019) - [j13]Qiuzhuang Sun
Scheduling Preventive Maintenance Considering the Saturation Effect. IEEE Trans. Reliab. 68(2): 741-752 (2019) - 2018
- [j12]Weiwen Peng, Lijuan Shen
Reliability analysis of repairable systems with recurrent misuse-induced failures and normal-operation failures. Reliab. Eng. Syst. Saf. 171: 87-98 (2018) - [j11]Jinhua Mi, Yan-Feng Li, Weiwen Peng
Reliability analysis of complex multi-state system with common cause failure based on evidential networks. Reliab. Eng. Syst. Saf. 174: 71-81 (2018) - 2017
- [j10]Weiwen Peng
Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates. IEEE Trans. Reliab. 66(1): 84-96 (2017) - 2016
- [j9]Shun-Peng Zhu, Hong-Zhong Huang, Weiwen Peng
Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty. Reliab. Eng. Syst. Saf. 146: 1-12 (2016) - [j8]Jinhua Mi, Yan-Feng Li, Yuanjian Yang, Weiwen Peng
Reliability assessment of complex electromechanical systems under epistemic uncertainty. Reliab. Eng. Syst. Saf. 152: 1-15 (2016) - [j7]Weiwen Peng
Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective. Reliab. Eng. Syst. Saf. 153: 75-87 (2016) - [j6]Weiwen Peng
Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas. IEEE Trans. Reliab. 65(2): 624-639 (2016) - 2015
- [j5]Weiwen Peng
Leveraging Degradation Testing and Condition Monitoring for Field Reliability Analysis With Time-Varying Operating Missions. IEEE Trans. Reliab. 64(4): 1367-1382 (2015) - 2014
- [j4]Weiwen Peng
Inverse Gaussian process models for degradation analysis: A Bayesian perspective. Reliab. Eng. Syst. Saf. 130: 175-189 (2014) - 2013
- [j3]Ning-Cong Xiao, Yanfeng Li, Zhonglai Wang, Weiwen Peng
Bayesian Reliability Estimation for Deteriorating Systems with Limited Samples Using the Maximum Entropy Approach. Entropy 15(12): 5492-5509 (2013) - [j2]Weiwen Peng
Life cycle reliability assessment of new products - A Bayesian model updating approach. Reliab. Eng. Syst. Saf. 112: 109-119 (2013) - [j1]Weiwen Peng
A Bayesian Approach for System Reliability Analysis With Multilevel Pass-Fail, Lifetime and Degradation Data Sets. IEEE Trans. Reliab. 62(3): 689-699 (2013)
Coauthor Index
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