| 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 | 302 | 2018 |
| 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 | 117 | 2016 |
| 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 | 117 | 2015 |
| 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 | 105 | 2014 |
| 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 | 92 | 2019 |
| 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 | 80 | 2019 |
| 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 | 78 | 2015 |
| 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 | 65 | 2019 |
| 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 | 64 | 2019 |
| 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 | 61 | 2015 |
| 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 | 50 | 2022 |
| 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 | 41 | 2018 |
| 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 | 39 | 2016 |
| 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 | 36 | 2018 |
| 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 | 34 | 2022 |
| 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 | 34 | 2018 |
| 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 | 28 | 2022 |
| 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 | 28 | 2020 |
| Online Diagnosis of PEMFC by Combining Support Vector Machine and Fluidic Model Z Li, S Giurgea, R Outbib, D Hissel Fuel Cells, 2014 | 28 | 2014 |
| 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 | 26 | 2018 |
rachid outbibProfessor, Aix-Marseilles University在 lsis.org 的电子邮件经过验证
