| A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation
C Hu, BD Youn, J Chung
Applied Energy 92, 694-704
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| Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries
S Shen, M Sadoughi, M Li, Z Wang, C Hu
Applied Energy 260, 114296
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| Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
C Hu, BD Youn, P Wang, JT Yoon
Reliability Engineering & System Safety 103, 120-135
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| Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
C Hu, BD Youn, P Wang
Prognostics and Health Management (PHM), 2011 IEEE Conference on, 1-10
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| A deep learning method for online capacity estimation of lithium-ion batteries
S Shen, M Sadoughi, X Chen, M Hong, C Hu
Journal of Energy Storage 25, 100817
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| A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ...
Structural and Multidisciplinary Optimization 65 (12), 354
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| Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery
C Hu, G Jain, P Zhang, C Schmidt, P Gomadam, T Gorka
Applied Energy 129, 49-55
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| Resilience-Driven System Design of Complex Engineered Systems
BD Youn, C Hu, P Wang
Journal of Mechanical Design 133 (10), 101011
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| Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems
C Hu, BD Youn
Structural and Multidisciplinary Optimization 43 (3), 419-442
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| A generic probabilistic framework for structural health prognostics and uncertainty management
P Wang, BD Youn, C Hu
Mechanical Systems and Signal Processing 28, 622-637
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| A physics-informed deep learning approach for bearing fault detection
S Shen, H Lu, M Sadoughi, C Hu, V Nemani, A Thelen, K Webster, M Darr, ...
Engineering Applications of Artificial Intelligence 103, 104295
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| Method for estimating capacity and predicting remaining useful life of lithium-ion battery
C Hu, G Jain, P Tamirisa, T Gorka
Applied Energy 126, 182–189
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| Online estimation of lithium-ion battery capacity using sparse Bayesian learning
C Hu, G Jain, C Schmidt, C Strief, M Sullivan
Journal of Power Sources 289, 105-113
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| Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings
M Sadoughi, C Hu
IEEE Sensors Journal 19 (11), 4181-4192
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| An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction
Z Li, D Wu, C Hu, J Terpenny
Reliability Engineering & System Safety 184, 110-122
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| Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations
Z Li, Y Jiang, Q Guo, C Hu, Z Peng
Renewable Energy 116, 55-73
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| Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review
Z Li, Y Jiang, C Hu, Z Peng
Measurement 90, 4-19
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| Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
V Nemani, L Biggio, X Huan, Z Hu, O Fink, A Tran, Y Wang, X Zhang, ...
Mechanical Systems and Signal Processing 205, 110796
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| A generic model-free approach for lithium-ion battery health management
G Bai, P Wang, C Hu, M Pecht
Applied Energy 135, 247-260
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| A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ...
Structural and multidisciplinary optimization 66 (1), 1
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