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Chao Liu
Chao Liu
Associate Professor, Department of Energy and Power Engineering, Tsinghua University, China
Verified email at tsinghua.edu.cn
Title
Cited by
Cited by
Year
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
4272020
Fault diagnosis of wind turbine based on Long Short-term memory networks
J Lei, C Liu, D Jiang
Renewable Energy 133, 422-432, 2019
4202019
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
3852019
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
1502019
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
1452012
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
1442019
Deep transfer learning with limited data for machinery fault diagnosis
T Han, C Liu, R Wu, D Jiang
Applied Soft Computing 103, 107150, 2021
1312021
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
1072011
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
872019
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
842012
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
772014
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
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
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
642018
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
542021
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
502014
Machine condition classification using deterioration feature extraction and anomaly determination
D Jiang, C Liu
Reliability, IEEE Transactions on 60 (1), 41-48, 2011
472011
Bridge damage detection using spatiotemporal patterns extracted from dense sensor network
C Liu, Y Gong, S Laflamme, B Phares, S Sarkar
Measurement Science and Technology 28 (1), 014011, 2017
462017
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
452022
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