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Cheng-Geng Huang / 黄承赓
Cheng-Geng Huang / 黄承赓
Другие имена黄 承赓, CHENGGENG HUANG
Lecturer, School of Automation Engineering, University of Electronic Science and Technology of China
Подтвержден адрес электронной почты в домене uestc.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
A bidirectional LSTM prognostics method under multiple operational conditions
CG Huang, HZ Huang, YF Li
IEEE Transactions on Industrial Electronics 66 (11), 8792-8802, 2019
3322019
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
1062021
A real-time inspection and opportunistic maintenance strategies for floating offshore wind turbines
H Li, CG Huang, CG Soares
Ocean Engineering 256, 111433, 2022
902022
An enhanced deep learning-based fusion prognostic method for RUL prediction
CG Huang, X Yin, HZ Huang, YF Li
IEEE Transactions on Reliability 69 (3), 1097-1109, 2019
812019
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
652022
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
542023
Cross-domain open-set machinery fault diagnosis based on adversarial network with multiple auxiliary classifiers
J Zhu, CG Huang, C Shen, Y Shen
IEEE Transactions on Industrial Informatics 18 (11), 8077-8086, 2021
442021
State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis
R Zhou, R Zhu, CG Huang, W Peng
Journal of Energy Storage 51, 104560, 2022
402022
Fatigue life prediction of fan blade using nominal stress method and cumulative fatigue damage theory
HZ Huang, CG Huang, Z Peng, YF Li, H Yin
International Journal of Turbo & Jet-Engines 37 (2), 135-139, 2020
362020
A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment
H Li, M Yazdi, HZ Huang, CG Huang, W Peng, A Nedjati, KA Adesina
Complex & Intelligent Systems 9 (5), 5527-5553, 2023
322023
Improved trajectory similarity-based approach for turbofan engine prognostics
CG Huang, HZ Huang, W Peng, T Huang
Journal of Mechanical Science and Technology 33, 4877-4890, 2019
312019
A novel Bayesian deep dual network with unsupervised domain adaptation for transfer fault prognosis across different machines
CG Huang, J Zhu, Y Han, W Peng
IEEE Sensors Journal 22 (8), 7855-7867, 2021
232021
Failure rate assessment for onshore and floating offshore wind turbines
H Li, W Peng, CG Huang, C Guedes Soares
Journal of Marine Science and Engineering 10 (12), 1965, 2022
202022
A reliable probabilistic risk-based decision-making method: Bayesian Technique for Order of Preference by Similarity to Ideal Solution (B-TOPSIS)
H Li, M Yazdi, CG Huang, W Peng
Soft Computing 26 (22), 12137-12153, 2022
162022
A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Z Wang, J Guo, J Wang, Y Yang, L Dai, CG Huang, JL Wan
Measurement Science and Technology 34 (10), 105105, 2023
102023
Discovering the sustainable challenges of biomass energy: a case study of Tehran metropolitan
GJ Jiang, CG Huang, A Nedjati, M Yazdi
Environment, Development and Sustainability 26 (2), 3957-3992, 2024
82024
A Hybrid Prognosis Scheme for Rolling Bearings Based on a Novel Health Indicator and Nonlinear Wiener Process
J Guo, Z Wang, H Li, Y Yang, CG Huang, M Yazdi, HS Kang
Reliability Engineering & System Safety, 110014, 2024
72024
Transfer fault prognostic for rolling bearings across different working conditions: a domain adversarial perspective
CG Huang, C Men, M Yazdi, Y Han, W Peng
The International Journal of Advanced Manufacturing Technology, 1-19, 2022
52022
Intelligent health monitoring of machine tools using a Bayesian multibranch neural network
R Zhu, W Peng, Y Han, CG Huang
IEEE Sensors Journal 22 (12), 12183-12196, 2022
52022
Fault prognosis of engineered systems: A deep learning perspective
CG Huang, XY Li, HZ Huang, YF Li
2019 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2019
42019
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Статьи 1–20