Weiwen Peng

Orcid: 0000-0001-9535-9187

According to our database1, Weiwen Peng authored at least 30 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Collaborative Prognostics of Lithium-Ion Batteries Using Federated Learning With Dynamic Weighting and Attention Mechanism.
IEEE Trans. Ind. Electron., January, 2025

2024
Personalized Federated Transfer Learning for Cycle-Life Prediction of Lithium-Ion Batteries in Heterogeneous Clients With Data Privacy Protection.
IEEE Internet Things J., November, 2024

State of Health Estimation for Second-Life Lithium-Ion Batteries in Energy Storage System With Partial Charging-Discharging Workloads.
IEEE Trans. Ind. Electron., October, 2024

Advances and novel applications in systems reliability and safety engineering (selected papers of the International Conference of SRSE 2022).
Qual. Reliab. Eng. Int., October, 2024

Collaborative Online RUL Prediction of Multiple Assets With Analytically Recursive Bayesian Inference.
IEEE Trans. Reliab., March, 2024

A Semi-Supervised Failure Knowledge Graph Construction Method for Decision Support in Operations and Maintenance.
IEEE Trans. Ind. Informatics, March, 2024

A Bayesian deep learning pipeline for lithium-ion battery SOH estimation with uncertainty quantification.
Qual. Reliab. Eng. Int., February, 2024

2023
Intelligent Reliability and Maintainability of Energy Infrastructure Assets
473, Springer, ISBN: 978-3-031-29961-2, 2023

2022
A reliable probabilistic risk-based decision-making method: Bayesian Technique for Order of Preference by Similarity to Ideal Solution (B-TOPSIS).
Soft Comput., 2022

Bayesian deep-learning for RUL prediction: An active learning perspective.
Reliab. Eng. Syst. Saf., 2022

Bayesian information fusion method for reliability analysis with failure-time data and degradation data.
Qual. Reliab. Eng. Int., 2022

Degradation analysis with nonlinear exponential-dispersion process: Bayesian offline and online perspectives.
Qual. Reliab. Eng. Int., 2022

Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability.
Ann. Oper. Res., 2022

2020
Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty.
IEEE Trans. Ind. Electron., 2020

Fault prognosis using deep convolutional neural network and bootstrap-based method.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019
Scheduling Preventive Maintenance Considering the Saturation Effect.
IEEE Trans. Reliab., 2019

Joint Online RUL Prediction for Multivariate Deteriorating Systems.
IEEE Trans. Ind. Informatics, 2019

Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network.
IEEE Trans. Ind. Electron., 2019

2018
Reliability analysis of repairable systems with recurrent misuse-induced failures and normal-operation failures.
Reliab. Eng. Syst. Saf., 2018

Reliability analysis of complex multi-state system with common cause failure based on evidential networks.
Reliab. Eng. Syst. Saf., 2018

2017
Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates.
IEEE Trans. Reliab., 2017

2016
Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas.
IEEE Trans. Reliab., 2016

Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty.
Reliab. Eng. Syst. Saf., 2016

Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective.
Reliab. Eng. Syst. Saf., 2016

Reliability assessment of complex electromechanical systems under epistemic uncertainty.
Reliab. Eng. Syst. Saf., 2016

2015
Leveraging Degradation Testing and Condition Monitoring for Field Reliability Analysis With Time-Varying Operating Missions.
IEEE Trans. Reliab., 2015

2014
Inverse Gaussian process models for degradation analysis: A Bayesian perspective.
Reliab. Eng. Syst. Saf., 2014

2013
A Bayesian Approach for System Reliability Analysis With Multilevel Pass-Fail, Lifetime and Degradation Data Sets.
IEEE Trans. Reliab., 2013

Life cycle reliability assessment of new products - A Bayesian model updating approach.
Reliab. Eng. Syst. Saf., 2013

Bayesian Reliability Estimation for Deteriorating Systems with Limited Samples Using the Maximum Entropy Approach.
Entropy, 2013


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