Implementation of an Early Stage Fuel Cell Degradation Prediction Digital Twin Based on Transfer Learning
Digital twins are now being widely applied in fault and lifetime prediction of complex systems. In this article, a digital twin for fuel cell degradation prediction via transfer learning method is proposed. As the fuel cell degradation is very susceptible to operation conditions, a multi-input data-...
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Veröffentlicht in: | IEEE transactions on transportation electrification 2023-06, Vol.9 (2), p.3308-3318 |
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Format: | Artikel |
Sprache: | eng |
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