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Weiwen Peng
Weiwen Peng
Associate Professor, School of Intelligent Systems Engineering, Sun Yat-sen University
Подтвержден адрес электронной почты в домене mail.sysu.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Estimation of Bearing Remaining Useful Life based on Multiscale Convolutional Neural Network
J Zhu, N Chen, W Peng
IEEE Transactions on Industrial Electronics 66 (4), 3208-3216, 2019
5422019
Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty
SP Zhu, HZ Huang, W Peng, HK Wang, S Mahadevan
Reliability Engineering & System Safety 146, 1-12, 2016
2682016
Reliability analysis of complex multi-state system with common cause failure based on evidential networks
J Mi, YF Li, W Peng, HZ Huang
Reliability Engineering & System Safety 174, 71-81, 2018
2592018
Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks
SP Zhu, Q Liu, W Peng, XC Zhang
International Journal of Mechanical Sciences 142, 502-517, 2018
2452018
Inverse Gaussian process models for degradation analysis: A Bayesian perspective
W Peng, YF Li, YJ Yang, HZ Huang, MJ Zuo
Reliability Engineering & System Safety 130, 175-189, 2014
2342014
Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty
W Peng, ZS Ye, N Chen
IEEE Transactions on Industrial Electronics 67 (3), 2283-2293, 2020
2072020
Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates
W Peng, YF Li, YJ Yang, J Mi, HZ Huang
IEEE Transactions on Reliability 66 (1), 84-96, 2017
1792017
Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas
W Peng, YF Li, YJ Yang, SP Zhu, HZ Huang
IEEE Transactions on Reliability 65 (2), 624-639, 2016
1582016
Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability
YF Li, HZ Huang, J Mi, W Peng, X Han
Annals of Operations Research, 1-15, 2022
1512022
Mean stress effect correction in strain energy-based fatigue life prediction of metals
SP Zhu, Q Lei, HZ Huang, YJ Yang, W Peng
International Journal of Damage Mechanics 26 (8), 1219-1241, 2017
1422017
Reliability assessment of complex electromechanical systems under epistemic uncertainty
J Mi, YF Li, YJ Yang, W Peng, HZ Huang
Reliability Engineering & System Safety 152, 1-15, 2016
1422016
A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing
CG Huang, HZ Huang, YF Li, W Peng
Journal of Manufacturing Systems 61, 757-772, 2021
1102021
Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective
W Peng, YF Li, J Mi, L Yu, HZ Huang
Reliability Engineering & System Safety 153, 75-87, 2016
862016
A Bayesian approach for system reliability analysis with multilevel pass-fail, lifetime and degradation data sets
W Peng, HZ Huang, M Xie, Y Yang, Y Liu
IEEE Transactions on Reliability 62 (3), 689-699, 2013
772013
Joint Online RUL Prediction for Multivariate Deteriorating Systems
W Peng, ZS Ye, N Chen
IEEE Transactions on Industrial Informatics 15 (5), 2870-2878, 2019
732019
Electrochemical Impedance Spectroscopy Based State-of-Health Estimation for Lithium-Ion Battery Considering Temperature and State-of-Charge Effect
Q Zhang, CG Huang, H Li, G Feng, W Peng
IEEE Transactions on Transportation Electrification 8 (4), 4633-4645, 2022
702022
Life cycle reliability assessment of new products—A Bayesian model updating approach
W Peng, HZ Huang, Y Li, MJ Zuo, M Xie
Reliability Engineering & System Safety 112, 109-119, 2013
602013
Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data
R Zhu, W Peng, D Wang, CG Huang
Mechanical Systems and Signal Processing 183, 109628, 2023
582023
Reliability Analysis of Repairable Systems with Recurrent Misuse-Induced Failures and Normal-Operation Failures
W Peng, L Shen, Y Shen, Q Sun
Reliability Engineering & System Safety 171, 87-98, 2018
522018
Bayesian deep-learning for RUL prediction: An active learning perspective
R Zhu, Y Chen, W Peng, ZS Ye
Reliability Engineering & System Safety 228, 108758, 2022
462022
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