Suivre
Jinzhen Kong (孔金震)
Jinzhen Kong (孔金震)
Autres nomsJin-Zhen Kong
Hebei University of Technology
Adresse e-mail validée de sjtu.edu.cn - Page d'accueil
Titre
Citée par
Citée par
Année
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
1442021
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
532019
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
482022
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
442021
Battery prognostics at different operating conditions
D Wang, J Kong, F Yang, Y Zhao, KL Tsui
Measurement 151, 107182, 2020
332020
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
182021
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
172023
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
112022
Online battery model parameters identification approach based on bias-compensated forgetting factor recursive least squares
D Zhen, J Liu, S Ma, J Zhu, J Kong, Y Gao, G Feng, F Gu
Green Energy and Intelligent Transportation 3 (4), 100207, 2024
42024
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
42023
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
22022
New Look at Bayesian Prognostic Methods
J Liu, D Wang, JZ Kong, N Li, Z Peng, KL Tsui
IEEE Transactions on Automation Science and Engineering, 2024
12024
Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps
J Kong, J Liu, J Zhu, X Zhang, KL Tsui, Z Peng, D Wang
Chinese Journal of Mechanical Engineering 37 (1), 71, 2024
12024
Online Parameter Identification of Lithium Battery Model Based on Bias Compensated Least Square
J Liu, J Kong, Y Feng, D Zhen, H Zhang, G Feng
International conference on the Efficiency and Performance Engineering …, 2023
12023
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
An Approach for Infrasound Event Classification Based on DenseNet-BiLSTM Fusion and Self-attention Mechanism
Z Pang, G Feng, J Zhu, J Kong, D Zhen, P Teng
International conference on the Efficiency and Performance Engineering …, 2024
2024
An Approach for Infrasound Event
Z Pang¹, G Feng, J Zhu¹, J Kong, D Zhen
Proceedings of the TEPEN International Workshop on Fault Diagnostic and …, 2024
2024
Zero-Shot Rolling Bearing Compound Fault Diagnosis Based on Envelope Spectrum Semantic Construction
H Sun, S Tian, J Kong, H Li, R Ramli, G Feng, D Zhen
International conference on the Efficiency and Performance Engineering …, 2023
2023
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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