Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries J Kong, F Yang, X Zhang, E Pan, Z Peng, D Wang Energy 223, 120114, 2021 | 102 | 2021 |
Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena D Wang, JZ Kong, Y Zhao, KL Tsui Measurement 147, 106836, 2019 | 47 | 2019 |
Understanding importance of positive and negative signs of optimized weights used in the sum of weighted normalized Fourier spectrum/envelope spectrum for machine condition … B Hou, D Wang, JZ Kong, J Liu, Z Peng, KL Tsui Mechanical Systems and Signal Processing 174, 109094, 2022 | 31 | 2022 |
Battery prognostics at different operating conditions D Wang, J Kong, F Yang, Y Zhao, KL Tsui Measurement 151, 107182, 2020 | 27 | 2020 |
Accelerated stress factors based nonlinear Wiener process model for lithium-ion battery prognostics JZ Kong, D Wang, T Yan, J Zhu, X Zhang IEEE Transactions on Industrial Electronics 69 (11), 11665-11674, 2021 | 24 | 2021 |
Definition of signal-to-noise ratio of health indicators and its analytic optimization for machine performance degradation assessment T Yan, D Wang, JZ Kong, T Xia, Z Peng, L Xi IEEE Transactions on Instrumentation and Measurement 70, 1-16, 2021 | 12 | 2021 |
Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating machine fault diagnosis B Hou, X Feng, JZ Kong, Z Peng, KL Tsui, D Wang Mechanical Systems and Signal Processing 191, 110200, 2023 | 7 | 2023 |
New short-long-term degradation model for precise battery health prognostics JZ Kong, D Cui, B Hou, X Liu, D Wang IEEE Transactions on Industrial Electronics 70 (9), 9527-9537, 2022 | 6 | 2022 |
A data-driven approach for capacity estimation of batteries based on voltage dependent health indicators J Kong, J Liu, Y Chen, D Wang Journal of Physics: Conference Series 1983 (1), 012115, 2021 | 1 | 2021 |
Large margin-learning methodology from Time-Frequency maps and its physically interpretable weights for simultaneous Machine health monitoring and fault diagnosis T Yan, D Wang, J Kong, Z Peng Mechanical Systems and Signal Processing 200, 110615, 2023 | | 2023 |
Machine Condition Monitoring by Online Updated Optimized Weights Spectrum: An Industrial Motor Case Study B Hou, JZ Kong, Y Chen, J Liu, D Wang 2022 International Conference on Sensing, Measurement & Data Analytics in …, 2022 | | 2022 |
Two Statistical Degradation Models of Batteries Under Different Operating Conditions JZ Kong, D Wang Artificial Intelligence, Big Data and Data Science in Statistics: Challenges …, 2022 | | 2022 |
A Generic Framework for Sport-specific Movement Recognition T Yan, D Wang, Y Wang, J Kong, Z Bi 2020 International Conference on Sensing, Diagnostics, Prognostics, and …, 2020 | | 2020 |