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A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction

Safa Meraghni, Labib Sadek Terrissa, Meiling Yue, Jian Ma, Samir Jemeï, Noureddine Zerhouni

2020International Journal of Hydrogen Energy171 citationsDOIOpen Access PDF

Topics & Concepts

PrognosticsProton exchange membrane fuel cellAutoencoderComputer scienceStack (abstract data type)Data-drivenFuel cellsDurabilityReliability engineeringData miningArtificial intelligenceEngineeringArtificial neural networkProgramming languageChemical engineeringDatabaseFuel Cells and Related MaterialsAdvanced Battery Technologies ResearchMachine Fault Diagnosis Techniques
A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction | Litcius