| Deep learning algorithms for bearing fault diagnostics—A comprehensive review S Zhang, S Zhang, B Wang, TG Habetler IEEE Access 8, 29857-29881, 2020 | 625 | 2020 |
| A survey of methods for monitoring and detecting thermal runaway of lithium-ion batteries Z Liao, S Zhang, K Li, G Zhang, TG Habetler Journal of Power Sources 436, 226879, 2019 | 254 | 2019 |
| Deep learning in human activity recognition with wearable sensors: A review on advances S Zhang, Y Li, S Zhang, F Shahabi, S Xia, Y Deng, N Alshurafa Sensors 22 (4), 1476, 2022 | 233 | 2022 |
| Modeling, design optimization, and applications of switched reluctance machines—A review S Li, S Zhang, TG Habetler, RG Harley IEEE Transactions on Industry Applications 55 (3), 2660-2681, 2019 | 175 | 2019 |
| Semi-supervised bearing fault diagnosis and classification using variational autoencoder-based deep generative models S Zhang, F Ye, B Wang, TG Habetler IEEE Sensors Journal 21 (5), 6476-6486, 2020 | 121* | 2020 |
| Few-shot bearing fault diagnosis based on model-agnostic meta-learning S Zhang, F Ye, B Wang, TG Habetler IEEE Transactions on Industry Applications 57 (5), 4754-4764, 2021 | 70 | 2021 |
| Hazard analysis of thermally abused lithium-ion batteries at different state of charges Z Liao, S Zhang, K Li, M Zhao, Z Qiu, D Han, G Zhang, TG Habetler Journal of Energy Storage 27, 101065, 2020 | 66 | 2020 |
| A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles F Ye, S Zhang, P Wang, CY Chan 2021 IEEE Intelligent Vehicles Symposium (IV), 2021 | 61 | 2021 |
| Model-based analysis and quantification of bearing faults in induction machines S Zhang, B Wang, M Kanemaru, C Lin, D Liu, M Miyoshi, KH Teo, ... IEEE Transactions on Industry Applications 56 (3), 2158-2170, 2020 | 56 | 2020 |
| Deep learning algorithms for bearing fault diagnostics-a review S Zhang, S Zhang, B Wang, TG Habetler 2019 IEEE 12th International Symposium on Diagnostics for Electrical …, 2019 | 54 | 2019 |
| Experimental evaluation of thermolysis-driven gas emissions from LiPF6-carbonate electrolyte used in lithium-ion batteries Z Liao, S Zhang, Y Zhao, Z Qiu, K Li, D Han, G Zhang, TG Habetler Journal of Energy Chemistry 49, 124-135, 2020 | 28 | 2020 |
| Few-shot bearing anomaly detection via model-agnostic meta-learning S Zhang, F Ye, B Wang, TG Habetler 2020 23rd international conference on electrical machines and systems (ICEMS …, 2020 | 24 | 2020 |
| Machine learning for the control and monitoring of electric machine drives: Advances and trends S Zhang, O Wallscheid, M Porrmann IEEE Open Journal of Industry Applications, 2023 | 23* | 2023 |
| Modeling and control of multi-terminal HVDC with offshore wind farm integration and DC chopper based protection strategies J Wu, S Zhang, D Xu IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013 | 21 | 2013 |
| A fast control-integrated and multiphysics-based multi-objective design optimization of switched reluctance machines S Li, S Zhang, C Jiang, JR Mayor, TG Habetler, RG Harley 2017 IEEE Energy Conversion Congress and Exposition (ECCE), 730-737, 2017 | 19 | 2017 |
| Performance evaluation and comparison of multi-objective optimization algorithms for the analytical design of switched reluctance machines S Zhang, S Li, RG Harley, TG Habetler CES Transactions on Electrical Machines and Systems 1 (1), 58-65, 2017 | 19 | 2017 |
| Fast and accurate analytical calculation of the unsaturated phase inductance profile of 6/4 switched reluctance machines S Li, S Zhang, TG Habetler, RG Harley 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 1-8, 2016 | 18 | 2016 |
| Analytical calculation of the phase inductance profile of switched reluctance machines S Li, S Zhang, J Dang, TG Habetler, RG Harley IEEE Transactions on Energy Conversion 34 (3), 1149-1163, 2019 | 17 | 2019 |
| An enhanced analytical calculation of the phase inductance of switched reluctance machines S Li, S Zhang, C Gong, TG Habetler, RG Harley IEEE Transactions on Industry Applications 55 (2), 1392-1407, 2018 | 17 | 2018 |
| Multi-objective design and optimization of generalized switched reluctance machines with particle swarm intelligence S Zhang, S Li, J Dang, RG Harley, TG Habetler 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 1-7, 2016 | 16 | 2016 |
Thomas HabetlerGeorgia Institute of TechnologyVerified email at ece.gatech.edu
