Winding Shorts Detection in SCIG using Convolutional Neural Networks
In the rapidly evolving landscape of renewable energy, unprecedented growth is occurring in wind power generation. At the core of this growth are Squirrel Cage Induction Generators (SCIGs), known for their simplicity, robustness, and cost-effectiveness. However, the reliability of these generators i...
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| Formato: | bachelorThesis |
| Idioma: | English |
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Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/56805 |
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