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Test and evaluation of a fuzzy diagnostic model for PEFC

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conference contribution
posted on 30.03.2017, 08:55 by Benjamin Davies, Lisa Jackson, Sarah Dunnett
Diagnosing faulty conditions of engineering systems is a highly desirable process within control structures, such that condition based maintenance (CBM) is made possible and effective. The goal herein is to enhance lifetime performance and extend system availability. Difficulty arises in developing a mathematical model which can describe all working and failure modes of complex systems. However the human ability to diagnose a system through experience is a powerful one, and can be represented in fuzzy logic. This paper presents the knowledge base of degradation modes in a polymer electrolyte fuel cell (PEFC), captured from experts and experimental findings. The defined rules produced for the fuzzy logic model connect ob-served operational modes and symptoms to component degradation. The system is then tested against common automotive stress conditions to assess operability.

Funding

This project is supported by the Engineering and Physical Science Research Council (grant number EP/L015749/1).

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

European Safety and Reliability Conference

Pages

1937 - 1941

Citation

DAVIES, B., JACKSON, L.M. and DUNNETT, S.J., 2016. Test and evaluation of a fuzzy diagnostic model for PEFC. IN: Walls, L., Revie, M. and Bedford, T. (eds.) Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016), Boca Raton, Florida: CRC Press, pp. 1937-1941.

Publisher

© Taylor & Francis

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This is an Accepted Manuscript of a book chapter published by Routledge in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 on September 13 2016, available online: http://www.routledge.com/9781138029972

ISBN

9781138029972

Language

en

Location

Glasgow

Exports

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Keywords

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