| DOI | Trouver le DOI : https://doi.org/10.1007/s11768-009-8003-8 |
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| Auteur | Rechercher : Deng, Xianrui; Rechercher : Liu, Guoping; Rechercher : Wang, George1; Rechercher : Tan, Min |
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| Affiliation | - Conseil national de recherches Canada. Programme d'aide à la recherche industrielle
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| Format | Texte, Article |
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| Sujet | modelling; identification; neural networks; PEM fuel cell; humidification system |
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| Résumé | A theoretical model of a humidifier of proton exchange membrane (PEM) fuel cell systems is developed and analyzed first in this paper. The model shows that there exists a strong nonlinearity in the system. Then, the system is identified using a wavelet networks method. To avoid the curse-of-dimensionality problem, a class of wavelet networks proposed by Billings is employed. The experimental data acquired from the test bench are used for identification. The one-step-ahead predictions and the five-step-ahead predictions are compared with the real measurements, respectively. It shows that the identified model can effectively describe the real system. |
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| Date de publication | 2009-10-16 |
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| Maison d’édition | Springer |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | c119501d-f6af-4a5f-ad56-3b40cd252eb1 |
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| Enregistrement créé | 2019-03-20 |
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| Enregistrement modifié | 2020-04-16 |
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