| DOI | Resolve DOI: https://doi.org/10.1007/s11768-009-8003-8 |
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| Author | Search for: Deng, Xianrui; Search for: Liu, Guoping; Search for: Wang, George1; Search for: Tan, Min |
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| Affiliation | - National Research Council Canada. Industrial Research Assistance Program
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| Format | Text, Article |
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| Subject | modelling; identification; neural networks; PEM fuel cell; humidification system |
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| Abstract | 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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| Publication date | 2009-10-16 |
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| Publisher | Springer |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | c119501d-f6af-4a5f-ad56-3b40cd252eb1 |
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| Record created | 2019-03-20 |
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| Record modified | 2020-04-16 |
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