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Model-based fault diagnosis in PEM fuel cell systems

Abstract

In this work, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals, indicators that are obtained comparing measured inputs and outputs with analytical relationships, which are obtained by system modelling. The innovation of this methodology is based on the characterization of the relative residual fault sensitivity. To illustrate the results, a non-linear fuel cell simulator proposed in the literature is used, with modifications, to include a set of fault scenarios proposed in this work. Finally, it is presented the diagnosis results corresponding to these fault scenarios. It is remarkable that with this methodology it is possible to diagnose and isolate all the faults in the proposed set in contrast with other well known methodologies which use the binary signature matrix of analytical residuals and faults. (author)
Authors:
Escobet, T; de Lira, S; Puig, V; Quevedo, J; [1]  Feroldi, D; Riera, J; Serra, M [2] 
  1. Automatic Control Department (ESAII), Universitat Politecnica de Catalunya (UPC), Rambla Sant Nebridi 10, 08222 Terrassa (Spain)
  2. Institut de Robotica i Informatica Industrial (IRI), Consejo Superior de Investigaciones Cientificas (CSIC), Universitat Politecnica de Catalunya (UPC) Parc Tecnologic de Barcelona, Edifici U, Carrer Llorens i Artigas, 4-6, Planta 2, 08028 Barcelona (Spain)
Publication Date:
Jul 01, 2009
Product Type:
Journal Article
Resource Relation:
Journal Name: Journal of Power Sources; Journal Volume: 192; Journal Issue: 1; Conference: 3. National congress on fuel cells - CONAPPICE 2008, Zaragoza (Spain), 24-26 Sep 2008; Other Information: Elsevier Ltd. All rights reserved
Subject:
30 DIRECT ENERGY CONVERSION; INDICATORS; PRODUCTION; SENSITIVITY; SIMULATORS; MODIFICATIONS; DETECTION; PROTON EXCHANGE MEMBRANE FUEL CELLS; PEMFC; Fault detection; Fault diagnostic
OSTI ID:
21186651
Country of Origin:
Netherlands
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 0378-7753; JPSODZ; TRN: NL09V4161
Availability:
Available from: http://dx.doi.org/10.1016/j.jpowsour.2008.12.014
Submitting Site:
ECN
Size:
page(s) 216-223
Announcement Date:
Jul 06, 2009

Citation Formats

Escobet, T, de Lira, S, Puig, V, Quevedo, J, Feroldi, D, Riera, J, and Serra, M. Model-based fault diagnosis in PEM fuel cell systems. Netherlands: N. p., 2009. Web. doi:10.1016/J.JPOWSOUR.2008.12.014.
Escobet, T, de Lira, S, Puig, V, Quevedo, J, Feroldi, D, Riera, J, & Serra, M. Model-based fault diagnosis in PEM fuel cell systems. Netherlands. https://doi.org/10.1016/J.JPOWSOUR.2008.12.014
Escobet, T, de Lira, S, Puig, V, Quevedo, J, Feroldi, D, Riera, J, and Serra, M. 2009. "Model-based fault diagnosis in PEM fuel cell systems." Netherlands. https://doi.org/10.1016/J.JPOWSOUR.2008.12.014.
@misc{etde_21186651,
title = {Model-based fault diagnosis in PEM fuel cell systems}
author = {Escobet, T, de Lira, S, Puig, V, Quevedo, J, Feroldi, D, Riera, J, and Serra, M}
abstractNote = {In this work, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals, indicators that are obtained comparing measured inputs and outputs with analytical relationships, which are obtained by system modelling. The innovation of this methodology is based on the characterization of the relative residual fault sensitivity. To illustrate the results, a non-linear fuel cell simulator proposed in the literature is used, with modifications, to include a set of fault scenarios proposed in this work. Finally, it is presented the diagnosis results corresponding to these fault scenarios. It is remarkable that with this methodology it is possible to diagnose and isolate all the faults in the proposed set in contrast with other well known methodologies which use the binary signature matrix of analytical residuals and faults. (author)}
doi = {10.1016/J.JPOWSOUR.2008.12.014}
journal = []
issue = {1}
volume = {192}
place = {Netherlands}
year = {2009}
month = {Jul}
}