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Data-driven proton exchange membrane fuel cell degradation predication through deep learning method

Rui Ma 1 Tao Yang 2 Elena Breaz 3 Zhongliang Li 4, 5 Pascal Briois 6 Fei Gao 7
1 HKUST - Hong Kong University of Science and Technology
2 Shenyang Agricultural University
3 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
4 LIS - Laboratoire d'Informatique et Systèmes
5 PECASE - Pronostic/Diagnostic Et CommAnde : Santé et Energie
LIS - Laboratoire d'Informatique et Systèmes
6 LERMPS - Laboratoire LERMPS
7 NHCS - National Heart Centre Singapore
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Journal articles
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https://hal-amu.archives-ouvertes.fr/hal-02004122
Contributor : Zhongliang Li <>
Submitted on : Friday, February 1, 2019 - 3:38:20 PM
Last modification on : Thursday, November 12, 2020 - 9:42:15 AM

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  • HAL Id : hal-02004122, version 1

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UNIV-AMU | CNRS | UNIV-BM | UNIV-FCOMTE | UNIV-BM-THESE | FEMTO-ST | LIS-LAB | UNIV-TLN | TDS-MACS

Citation

Rui Ma, Tao Yang, Elena Breaz, Zhongliang Li, Pascal Briois, et al.. Data-driven proton exchange membrane fuel cell degradation predication through deep learning method. Applied Energy, Elsevier, 2018, 231, pp.102-115. ⟨hal-02004122⟩

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