Fault diagnosis of a commercial PEM Fuel cell system using LMS AMESim

Reem Salim, Hassan Noura, Abbas Fardoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509054541
DOIs
Publication statusPublished - May 26 2017
Event7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 - Sharjah, United Arab Emirates
Duration: Apr 4 2017Apr 6 2017

Publication series

Name2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

Other

Other7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
Country/TerritoryUnited Arab Emirates
CitySharjah
Period4/4/174/6/17

Keywords

  • Fault diagnosis
  • Modeling
  • PEM fuel cells
  • Simulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Applied Mathematics
  • Control and Optimization
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Fault diagnosis of a commercial PEM Fuel cell system using LMS AMESim'. Together they form a unique fingerprint.

Cite this