Παρακολούθηση
Zhongliang LI
Zhongliang LI
Professor Chair, University of Franche-Comte
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα univ-fcomte.fr - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Data-driven proton exchange membrane fuel cell degradation predication through deep learning method
R Ma, T Yang, E Breaz, Z Li, P Briois, F Gao
Applied energy 231, 102-115, 2018
3292018
Online implementation of SVM based fault diagnosis strategy for PEMFC systems
SR Zhongliang Li, Rachid Outbib, Stefan Giurgea, Daniel Hissel, Samir Jemei ...
Applied Energy 164, 284-293, 2016
1292016
Online implementation of SVM based fault diagnosis strategy for PEMFC systems
Z Li, R Outbib, S Giurgea, D Hissel, S Jemei, S Rosini, A Giraud
The 6th International Conference on ”Fundamentals & Development of Fuel Cells”, 2015
1292015
Data-driven diagnosis of PEM fuel cell: A comparative study
Z Li, R Outbib, D Hissel, S Giurgea
Control Engineering Practice 28, 1-12, 2014
1112014
Adaptive prognostic of fuel cells by implementing ensemble echo state networks in time-varying model space
Z Li, Z Zheng, R Outbib
IEEE Transactions on Industrial Electronics 67 (1), 379-389, 2019
1052019
Data-fusion prognostics of proton exchange membrane fuel cell degradation
R Ma, Z Li, E Breaz, C Liu, H Bai, P Briois, F Gao
IEEE Transactions on Industry Applications 55 (4), 4321-4331, 2019
902019
Diagnosis for PEMFC systems: A Data-Driven Approach With the Capabilities of Online Adaptation and Novel Fault Detection
Z Li, R Outbib, S Giurgea, D Hissel.
IEEE Transactions on Industrial Electronics 62 (8), 5164 - 5174, 2015
842015
Fault diagnosis for fuel cell systems: A data-driven approach using high-precise voltage sensors
Z Li, R Outbib, S Giurgea, D Hissel, A Giraud, P Couderc
Renewable Energy 135, 1435-1444, 2019
702019
A review of the applications of fuel cells in microgrids: opportunities and challenges
Z Li, Z Zheng, L Xu, X Lu
bmc energy 1, 1-23, 2019
692019
Fault detection and isolation for Polymer Electrolyte Membrane Fuel Cell systems by analyzing cell voltage generated space
Z Li, R Outbib, S Giurgea, D Hissel, Y Li.
Applied Energy 148 (15), 260-272, 2015
662015
A novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells
C Wang, Z Li, R Outbib, M Dou, D Zhao
International Journal of Hydrogen Energy 47 (18), 10395-10408, 2022
652022
Fault diagnosis for PEMFC systems in consideration of dynamic behaviors and spatial inhomogeneity
Z Li, R Outbib, S Giurgea, D Hissel
IEEE Transactions on Energy Conversion 34 (1), 3-11, 2018
442018
Remaining useful life estimation for PEMFC in dynamic operating conditions
Z Li, S Jemei, R Gouriveau, D Hissel, N Zerhouni
2016 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2016
432016
Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load
M Yue, Z Li, R Roche, S Jemei, N Zerhouni
Control Engineering Practice 118, 104959, 2022
412022
Diagnosis for PEMFC based on magnetic measurements and data-driven approach
Z Li, C Cadet, R Outbib
IEEE Transactions on Energy Conversion 34 (2), 964-972, 2018
392018
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
C Wang, M Dou, Z Li, R Outbib, D Zhao, J Zuo, Y Wang, B Liang, P Wang
Reliability Engineering & System Safety 233, 109123, 2023
372023
Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells
C Wang, Z Li, R Outbib, M Dou, D Zhao
Applied Energy 305, 117918, 2022
372022
FPGA-based real-time simulation of high-power electronic system with nonlinear IGBT characteristics
C Liu, R Ma, H Bai, Z Li, F Gechter, F Gao
IEEE Journal of Emerging and Selected Topics in Power Electronics 7 (1), 41-51, 2018
352018
A novel deep belief network and extreme learning machine based performance degradation prediction method for proton exchange membrane fuel cell
Y Xie, J Zou, Z Li, F Gao, C Peng
IEEE Access 8, 176661-176675, 2020
322020
A prognostic methodology for power MOSFETs under thermal stress using echo state network and particle filter
Z Li, Z Zheng, R Outbib
Microelectronics Reliability 88, 350-354, 2018
312018
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