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)
Escobet, T;
de Lira, S;
Puig, V;
Quevedo, J;
[1]
Feroldi, D;
Riera, J;
Serra, M
[2]
- Automatic Control Department (ESAII), Universitat Politecnica de Catalunya (UPC), Rambla Sant Nebridi 10, 08222 Terrassa (Spain)
- 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)
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}
}
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}
}