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Jinzhen Kong
Jinzhen Kong
Подтвержден адрес электронной почты в домене sjtu.edu.cn
Название
Процитировано
Процитировано
Год
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
982021
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
432019
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
292022
Battery prognostics at different operating conditions
D Wang, J Kong, F Yang, Y Zhao, KL Tsui
Measurement 151, 107182, 2020
232020
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
212021
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
122021
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
72023
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
52022
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
12021
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
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