Work

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

Year: 2020

Type: article

Source: International Journal of Hydrogen Energy

DOI: 10.1016/j.ijhydene.2020.10.108

Authors: Safa Meraghni, Labib Sadek Terrissa, Meiling Yue, Jian Ma, Samir Jemei, Noureddine Zerhouni

Institutions: Centre National de la Recherche Scientifique, University of Biskra, Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, Université Bourgogne Franche-Comté, National Key Laboratory of Science and Technology on Reliability and Environmental Engineering, Beihang University

Language: English

Topic: Fuel Cells and Related Materials

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: Agence Nationale de la Recherche, Conseil régional de Bourgogne-Franche-Comté

Awards: Ingénierie et Innovation par les sciences physiques, les savoir-faire technologiques et l'interdisciplinarité, Ecole Universitaire de Recherche Interdisciplinaire sur la Douleur

OpenAlex ID: W3097170108

FWCI: 6.664

Cites: 47

Cited by: 182

Related to: 10