Remaining useful life prediction of PEMFC systems under dynamic operating conditions
Authors:
- Zhiguang HuaZHZhiguang Hua
- Zhixue ZhengZZZhixue Zheng
- Elodie PahonEPElodie Pahon
- Marie-Cécile PéraMPMarie-Cécile Péra
- Fei GaoFei Gao
Top Cited Papers
- 1 March 2021
- journal article
- research article
- Published by Elsevier in Energy Conversion and Management
- Vol. 231
Abstract
No abstract availableKeywords
Funding Information
- Agence Nationale de la Recherche (ANR-17-EURE-0002)
- Agence Nationale de la Recherche (ANR-14-OHRI-0018)
- European Commission (824256)
- European Commission (H2020-LC-GV-2018)
This publication has 49 references indexed in Scilit:
- ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state networkMathematics and Computers in Simulation, 2017
- Joint Particle Filters Prognostics for Proton Exchange Membrane Fuel Cell Power Prediction at Constant Current SolicitationIEEE Transactions on Reliability, 2015
- Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference SystemsInternational Journal of Hydrogen Energy, 2014
- PEM fuel cell prognostics using particle filter with model parameter adaptation2014
- Prognostics of PEM fuel cell in a particle filtering frameworkInternational Journal of Hydrogen Energy, 2014
- Prognostics and health management design for rotary machinery systems—Reviews, methodology and applicationsMechanical Systems and Signal Processing, 2014
- A Practical Guide to Applying Echo State Networks2012
- Annual electricity consumption forecasting by neural network in high energy consuming industrial sectorsEnergy Conversion and Management, 2008
- Optimization and applications of echo state networks with leaky- integrator neuronsNeural Networks, 2007
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimatesMathematics and Computers in Simulation, 2001