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Chao Liu
Chao Liu
Associate Professor, Department of Energy and Power Engineering, Tsinghua University, China
Bestätigte E-Mail-Adresse bei tsinghua.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
Fault diagnosis of wind turbine based on Long Short-term memory networks
J Lei, C Liu, D Jiang
Renewable Energy 133, 422-432, 2019
4822019
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
T Han, C Liu, W Yang, D Jiang
ISA transactions 97, 269-281, 2020
4762020
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
T Han, C Liu, W Yang, D Jiang
Knowledge-Based Systems 165, 474-487, 2019
4372019
Deep transfer learning with limited data for machinery fault diagnosis
T Han, C Liu, R Wu, D Jiang
Applied Soft Computing 103, 107150, 2021
1662021
Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions
T Han, C Liu, W Yang, D Jiang
ISA transactions 93, 341-353, 2019
1662019
An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems
T Han, C Liu, L Wu, S Sarkar, D Jiang
Mechanical Systems and Signal Processing 117, 170-187, 2019
1632019
Short-term prediction of wind power using EMD and chaotic theory
X An, D Jiang, M Zhao, C Liu
Communications in Nonlinear Science and Numerical Simulation 17 (2), 1036-1042, 2012
1502012
Wind farm power prediction based on wavelet decomposition and chaotic time series
X An, D Jiang, C Liu, M Zhao
Expert Systems with Applications 38 (9), 11280-11285, 2011
1112011
Casing vibration response prediction of dual-rotor-blade-casing system with blade-casing rubbing
N Wang, C Liu, D Jiang, K Behdinan
Mechanical Systems and Signal Processing 118, 61-77, 2019
992019
Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing
X An, D Jiang, J Chen, C Liu
Journal of Vibration and Control 18 (2), 240-245, 2012
852012
Global geometric similarity scheme for feature selection in fault diagnosis
C Liu, D Jiang, W Yang
Expert Systems with Applications 41 (8), 3585-3595, 2014
802014
Damage identification of wind turbine blades with deep convolutional neural networks
J Guo, C Liu, J Cao, D Jiang
Renewable Energy 174, 122-133, 2021
762021
An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring
W Yang, C Liu, D Jiang
Renewable Energy 127, 230-241, 2018
712018
Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network
C Liu, A Akintayo, Z Jiang, GP Henze, S Sarkar
Applied Energy 211, 1106-1122, 2018
712018
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models
Z Jiang, C Liu, NP Hendricks, B Ganapathysubramanian, DJ Hayes, ...
arXiv preprint arXiv:1805.12044, 2018
702018
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS
C Liu, S Ghosal, Z Jiang, S Sarkar
Proceedings of the 7th International Conference on Cyber-Physical Systems, 1, 2016
672016
Crack modeling of rotating blades with cracked hexahedral finite element method
C Liu, D Jiang
Mechanical Systems and Signal Processing 46 (2), 406-423, 2014
582014
Modeling and optimization of a hybrid renewable energy system integrated with gas turbine and energy storage
K Jia, C Liu, S Li, D Jiang
Energy Conversion and Management 279, 116763, 2023
542023
A hierarchical scheme for remaining useful life prediction with long short-term memory networks
T Song, C Liu, R Wu, Y Jin, D Jiang
Neurocomputing, https://doi.org/10.1016/j.neucom.2022.02, 2022
542022
Multi-step forecasting of ocean wave height using gate recurrent unit networks with multivariate time series
X Li, J Cao, J Guo, C Liu, W Wang, Z Jia, T Su
Ocean Engineering 248, 110689, 2022
522022
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