An artificial neural network ensemble method for fault diagnosis of proton exchange membrane fuel cell system

Author:

Shao Meng,Zhu Xin-Jian,Cao Hong-Fei,Shen Hai-Feng

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference22 articles.

1. Fuel cells: history and updating, a walk along two centuries;Andu′jar;Renew Sustain Energy Rev,2009

2. A review of polymer electrolyte membrane fuel cell stack testing;Miller;J Power Sources,2011

3. Handbook of fuel cells: fundamentals, technology, and applications;Vielstich,2003

4. Diagnosis of polymer electrolyte fuel cells failure modes (flooding & drying out) by neural networks modeling;Yousfi Steiner;Int J Hydrog Energy,2011

5. Fault tree analysis for PEM fuel cell degradation process modeling;Placca;Int J Hydrog Energy,2011

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