Zhongliang Li
Zhongliang Li
Associate Professor, Aix-Marseille University, LIS (UMR CNRS 7020) laboratory
Verified email at univ-amu.fr - Homepage
Title
Cited by
Cited by
Year
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
592018
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
562014
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
512016
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
512015
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
452015
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
362015
Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model
Z Li, S Giurgea, R Outbib, D Hissel
Fuel Cells, 2014
182014
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
132019
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
132018
Online diagnosis of PEMFC by analyzing individual cell voltages
Z Li, R Outbib, D Hissel, S Giurgea
2013 European Control Conference (ECC), 2439-2444, 2013
132013
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
112016
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
102019
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
92019
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
92018
Data-driven fault diagnosis for PEMFC systems
Z Li
Aix-Marseille, 2014
92014
Hybrid modeling of power electronic system for hardware-in-the-loop application
C Liu, R Ma, H Bai, Z Li, F Gechter, F Gao
Electric Power Systems Research 163, 502-512, 2018
52018
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
42018
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
42018
A system-level FPGA-based hardware-in-the-loop test of high-speed train
C Liu, X Guo, R Ma, Z Li, F Gechter, F Gao
IEEE transactions on transportation electrification 4 (4), 912-921, 2018
42018
Fault diagnosis and novel fault type detection for PEMFC system based on Spherical-Shaped Multiple-class Support Vector Machine
Z Li, S Giurgea, R Outbib, D Hissel
IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2014
42014
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