A simulation-based study claims 99.5% fault classification accuracy for a satellite electrical power system using an MLP with a first-moment current feature, but the result is likely an artifact of synthetic data and overfitting.
Graph -based semi -supervised learning for fault detection and classification in solar photovoltaic arrays
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Smart fault detection in satellite electrical power system
A simulation-based study claims 99.5% fault classification accuracy for a satellite electrical power system using an MLP with a first-moment current feature, but the result is likely an artifact of synthetic data and overfitting.