| Fault diagnosis of wind turbine based on Long Short-term memory networks J Lei, C Liu, D Jiang Renewable Energy 133, 422-432, 2019 | 528 | 2019 |
| 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 | 507 | 2020 |
| 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 | 457 | 2019 |
| Deep transfer learning with limited data for machinery fault diagnosis T Han, C Liu, R Wu, D Jiang Applied Soft Computing 103, 107150, 2021 | 186 | 2021 |
| 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 | 177 | 2019 |
| 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 | 171 | 2019 |
| 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 | 154 | 2012 |
| 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 | 114 | 2011 |
| 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 | 104 | 2019 |
| 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 | 87 | 2021 |
| 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 | 87 | 2012 |
| 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 | 81 | 2014 |
| An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring W Yang, C Liu, D Jiang Renewable Energy 127, 230-241, 2018 | 75 | 2018 |
| 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 | 75 | 2018 |
| 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 | 71 | 2018 |
| 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 | 70 | 2023 |
| 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 | 69 | 2016 |
| 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 | 66 | 2022 |
| 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 | 62 | 2014 |
| Nonlinear vibration signatures for localized fault of rolling element bearing in rotor-bearing-casing system Y Yang, C Liu, D Jiang, K Behdinan International Journal of Mechanical Sciences 173, 105449, 2020 | 58 | 2020 |
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State University確認したメール アドレス: iastate.edu
