@inproceedings{5386cf21b0bc4391bc8a82f78965ba3f,
title = "Fault diagnosis of a commercial PEM Fuel cell system using LMS AMESim",
abstract = "Model based fault diagnosis of fuel cells requires the development of a highly accurate system model. However, Fuel cell systems are considered to be very complex systems that are very difficult to model. Moreover, confidentiality issues with the manufacturer can sometimes impose constraints on the development of the model. This paper presents an approach to develop an accurate proton exchange membrane (PEMFC) system model for the use in fault diagnosis studies despite the lack of crucial system information by utilizing the Siemens LMS AMESim software.",
keywords = "Fault diagnosis, Modeling, PEM fuel cells, Simulation",
author = "Reem Salim and Hassan Noura and Abbas Fardoun",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 ; Conference date: 04-04-2017 Through 06-04-2017",
year = "2017",
month = may,
day = "26",
doi = "10.1109/ICMSAO.2017.7934890",
language = "English",
series = "2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017",
}