| A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles Z Wang, G Feng, D Zhen, F Gu, A Ball Energy Reports 7, 5141-5161, 2021 | 342 | 2021 |
| A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system Z Wang, G Feng, X Liu, F Gu, A Ball Journal of Energy Storage 49, 104124, 2022 | 64 | 2022 |
| A review on rapid state of health estimation of lithium-ion batteries in electric vehicles Z Wang, X Zhao, L Fu, D Zhen, F Gu, AD Ball Sustainable Energy Technologies and Assessments 60, 103457, 2023 | 42 | 2023 |
| Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations Z Wang, D Shi, Y Xu, D Zhen, F Gu, AD Ball Measurement 222, 113614, 2023 | 37 | 2023 |
| Fault identification of broken rotor bars in induction motors using an improved cyclic modulation spectral analysis Z Wang, J Yang, H Li, D Zhen, Y Xu, F Gu Energies 12 (17), 3279, 2019 | 37 | 2019 |
| An improved cyclic modulation spectral analysis based on the CWT and its application on broken rotor bar fault diagnosis for induction motors D Zhen, Z Wang, H Li, H Zhang, J Yang, F Gu Applied Sciences 9 (18), 3902, 2019 | 30 | 2019 |
| Active acoustic emission sensing for fast co-estimation of state of charge and state of health of the lithium-ion battery Z Wang, X Zhao, H Zhang, D Zhen, F Gu, A Ball Journal of Energy Storage 64, 107192, 2023 | 29 | 2023 |
| Improved cyclostationary analysis method based on TKEO and its application on the faults diagnosis of induction motors Z Wang, J Yang, H Li, D Zhen, F Gu, A Ball ISA transactions 128, 513-530, 2022 | 25 | 2022 |
| Modulation sideband separation using the Teager–Kaiser energy operator for rotor fault diagnostics of induction motors H Li, Z Wang, D Zhen, F Gu, A Ball Energies 12 (23), 4437, 2019 | 25 | 2019 |
| Remaining useful life prediction for complex systems with multiple indicators of stochastic correlation considering random shocks B Wu, H Shi, J Zeng, X Zhang, Z Wang Mechanical Systems and Signal Processing 204, 110767, 2023 | 16 | 2023 |
| A hybrid intelligent model using the distribution of relaxation time analysis of electrochemical impedance spectroscopy for lithium-ion battery state of health estimation X Zhao, S Liu, E Li, Z Wang, F Gu, AD Ball Journal of Energy Storage 84, 110814, 2024 | 12 | 2024 |
| Investigation into impedance measurements for rapid capacity estimation of lithium-ion batteries in electric vehicles X Zhao, Z Wang, E Li, H Miao Journal of Dynamics, Monitoring and Diagnostics, 21-31, 2024 | 7 | 2024 |
| Adaptable capacity estimation of lithium-ion battery based on short-duration random constant-current charging voltages and convolutional neural networks Z Wang, X Zhao, D Zhen, J Pombo, W Yang, F Gu, A Ball Energy 306, 132541, 2024 | 6 | 2024 |
| An enhanced cyclostationary method and its application on the incipient fault diagnosis of induction motors Z Wang, H Li, G Feng, D Zhen, F Gu, AD Ball Measurement 221, 113475, 2023 | 6 | 2023 |
| Vibration Signature Analysis for Broken Rotor Bar Diagnosis in Induction Motors Based on Cyclic Modulation Spectrum Z Wang, H Li, D Zhen, F Gu, AD Ball Proceedings of IncoME-V & CEPE Net-2020 105, 616-626, 2021 | 6 | 2021 |
| Rapid State of Health Estimation of Lithium-ion Batteries based on An Active Acoustic Emission Sensing Method Z Wang, K Lu, X Chen, D Zhen, F Gu, AD Ball 2022 27th International Conference on Automation and Computing (ICAC), 1-6, 2022 | 5 | 2022 |
| Feature Extraction from Charging Profiles for State of Health Estimation of Lithium-ion Battery Z Wang, G Feng, X Sun, D Zhen, F Gu, AD Ball Journal of Physics: Conference Series 2184, 012024, 2022 | 4 | 2022 |
| A MLP-based transfer learning model using EIS health features for state of health estimation of lithium-ion battery X Zhao, Z Wang, S Liu, H Miao, E Li, F Gu, A Ball 2023 28th International Conference on Automation and Computing (ICAC), 1-5, 2023 | 3 | 2023 |
| An overview of ultrasonic signature-based lithium-ion battery health monitoring L Fu, Z Wang, X Zhao, Y Xu, F Gu, AD Ball International conference on the Efficiency and Performance Engineering …, 2023 | 2 | 2023 |
| Blind deconvolution based on modified smoothness index for railway axle bearing fault diagnosis B Chen, F Gu, W Zhang, M Tan, Y Luo, Z Wang, Z Zhou International conference on the Efficiency and Performance Engineering …, 2022 | 2 | 2022 |
Prof. Fengshou GuUniversity of HuddersfieldVerifierad e-postadress på hud.ac.uk