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Shen Zhang
Shen Zhang
Joby Aviation, Georgia Tech
Verified email at joby.aero
Title
Cited by
Cited by
Year
Deep learning algorithms for bearing fault diagnostics—A comprehensive review
S Zhang, S Zhang, B Wang, TG Habetler
IEEE Access 8, 29857-29881, 2020
6222020
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
2532019
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
2312022
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
1752019
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
702021
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
662020
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
602021
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
562020
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
542019
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
272020
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
242020
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
212013
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
192017
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
192017
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
182016
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
172019
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
172018
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
162016
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Articles 1–20