Bayesian Reliability Estimation for Deteriorating Systems with Limited Samples Using the Maximum Entropy Approach. - Ning-Cong Xiao; Yanfeng Li; Zhonglai Wang; Weiwen Peng; Hong-Zhong Huang (Entropy, 2013)

Life cycle reliability assessment of new products - A Bayesian model updating approach. - Weiwen Peng; Hong-Zhong Huang; Yanfeng Li; Ming Jian Zuo; Min Xie 001 (Reliab. Eng. Syst. Saf., 2013)

A Bayesian Approach for System Reliability Analysis With Multilevel Pass-Fail, Lifetime and Degradation Data Sets. - Weiwen Peng; Hong-Zhong Huang; Min Xie 001; Yuanjian Yang; Yu Liu 006 (IEEE Trans. Reliab., 2013)

Inverse Gaussian process models for degradation analysis: A Bayesian perspective. - Weiwen Peng; Yanfeng Li; Yuanjian Yang; Hong-Zhong Huang; Ming Jian Zuo (Reliab. Eng. Syst. Saf., 2014)

Leveraging Degradation Testing and Condition Monitoring for Field Reliability Analysis With Time-Varying Operating Missions. - Weiwen Peng; Yanfeng Li; Yuanjian Yang; Jinhua Mi; Hong-Zhong Huang (IEEE Trans. Reliab., 2015)

Reliability assessment of complex electromechanical systems under epistemic uncertainty. - Jinhua Mi; Yan-Feng Li; Yuanjian Yang; Weiwen Peng; Hong-Zhong Huang (Reliab. Eng. Syst. Saf., 2016)

Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective. - Weiwen Peng; Yan-Feng Li; Jinhua Mi; Le Yu; Hong-Zhong Huang (Reliab. Eng. Syst. Saf., 2016)

Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty. - Shun-Peng Zhu; Hong-Zhong Huang; Weiwen Peng; Hai-Kun Wang; Sankaran Mahadevan (Reliab. Eng. Syst. Saf., 2016)

Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas. - Weiwen Peng; Yan-Feng Li; Yuanjian Yang; Shun-Peng Zhu; Hong-Zhong Huang (IEEE Trans. Reliab., 2016)

Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates. - Weiwen Peng; Yan-Feng Li; Yuanjian Yang; Jinhua Mi; Hong-Zhong Huang (IEEE Trans. Reliab., 2017)

Reliability analysis of complex multi-state system with common cause failure based on evidential networks. - Jinhua Mi; Yan-Feng Li; Weiwen Peng; Hong-Zhong Huang (Reliab. Eng. Syst. Saf., 2018)

Reliability analysis of repairable systems with recurrent misuse-induced failures and normal-operation failures. - Weiwen Peng; Lijuan Shen; Yan Shen; Qiuzhuang Sun (Reliab. Eng. Syst. Saf., 2018)

Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network. - Jun Zhu 012; Nan Chen 002; Weiwen Peng (IEEE Trans. Ind. Electron., 2019)

Joint Online RUL Prediction for Multivariate Deteriorating Systems. - Weiwen Peng; Zhi-Sheng Ye 001; Nan Chen 002 (IEEE Trans. Ind. Informatics, 2019)

Scheduling Preventive Maintenance Considering the Saturation Effect. - Qiuzhuang Sun; Zhi-Sheng Ye 001; Weiwen Peng (IEEE Trans. Reliab., 2019)

Fault prognosis using deep convolutional neural network and bootstrap-based method. - Cheng-Geng Huang; Hong-Zhong Huang; Yan-Feng Li; Weiwen Peng (INDIN, 2020)

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty. - Weiwen Peng; Zhi-Sheng Ye 001; Nan Chen 002 (IEEE Trans. Ind. Electron., 2020)

Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability. - Yan-Feng Li; Hong-Zhong Huang; Jinhua Mi; Weiwen Peng; Xiaomeng Han (Ann. Oper. Res., 2022)

Degradation analysis with nonlinear exponential-dispersion process: Bayesian offline and online perspectives. - Yi Ding; Rong Zhu; Weiwen Peng; Min Xie 001 (Qual. Reliab. Eng. Int., 2022)

Bayesian information fusion method for reliability analysis with failure-time data and degradation data. - Junyu Guo; Yan-Feng Li; Weiwen Peng; Hong-Zhong Huang (Qual. Reliab. Eng. Int., 2022)

Bayesian deep-learning for RUL prediction: An active learning perspective. - Rong Zhu; Yuan Chen; Weiwen Peng; Zhisheng Ye 001 (Reliab. Eng. Syst. Saf., 2022)

A reliable probabilistic risk-based decision-making method: Bayesian Technique for Order of Preference by Similarity to Ideal Solution (B-TOPSIS). - He Li; Mohammad Yazdi; Cheng-Geng Huang; Weiwen Peng (Soft Comput., 2022)

Intelligent Reliability and Maintainability of Energy Infrastructure Assets - He Li; Weiwen Peng; Sidum Adumene; Mohammad Yazdi (Springer, 2023)

A Bayesian deep learning pipeline for lithium-ion battery SOH estimation with uncertainty quantification. - Yuqi Ke; Mingzhu Long; Fangfang Yang; Weiwen Peng (Qual. Reliab. Eng. Int., 2024)

A Semi-Supervised Failure Knowledge Graph Construction Method for Decision Support in Operations and Maintenance. - Yi Ding; He Li; Feng Zhu 016; Zhe Wang 035; Weiwen Peng; Min Xie 001 (IEEE Trans. Ind. Informatics, 2024)

Collaborative Online RUL Prediction of Multiple Assets With Analytically Recursive Bayesian Inference. - Weiwen Peng; Yuan Chen; Ancha Xu; Zhi-Sheng Ye 001 (IEEE Trans. Reliab., 2024)

Advances and novel applications in systems reliability and safety engineering (selected papers of the International Conference of SRSE 2022). - Weiwen Peng; Ancha Xu; Jiawen Hu (Qual. Reliab. Eng. Int., 2024)

State of Health Estimation for Second-Life Lithium-Ion Batteries in Energy Storage System With Partial Charging-Discharging Workloads. - Yiyue Jiang; Yuqi Ke; Fangfang Yang; Jinchen Ji; Weiwen Peng (IEEE Trans. Ind. Electron., 2024)

Personalized Federated Transfer Learning for Cycle-Life Prediction of Lithium-Ion Batteries in Heterogeneous Clients With Data Privacy Protection. - Cheng-Geng Huang; He Li; Weiwen Peng; Loon Ching Tang; Zhisheng Ye 001 (IEEE Internet Things J., 2024)

Blast loading prediction in a typical urban environment based on 3D direction-encoded Bayesian neural network. - Weiwen Peng; Peiji Huang; Chunjiang Leng; Meilin Pan; Shufei Wang; Jiulu Qiu; Qing Zhang; Wei Zhong (Reliab. Eng. Syst. Saf., 2025)

Bayesian calibrated physics-informed neural networks for second-life battery SOH estimation. - Rong Zhu; Jiawen Hu; Weiwen Peng (Reliab. Eng. Syst. Saf., 2025)

Collaborative Prognostics of Lithium-Ion Batteries Using Federated Learning With Dynamic Weighting and Attention Mechanism. - Rong Zhu; Weiwen Peng; Zhi-Sheng Ye 001; Min Xie 001 (IEEE Trans. Ind. Electron., 2025)

Lifetime Early Prediction for Second-Life Lithium-Ion Battery: A Hierarchical Bayesian Learning Method. - Ziyuan Li; Yu Han; Weiwen Peng (Reliab. Eng. Syst. Saf., 2026)