A novel unsupervised machine learning algorithm for automatic Alfvénic activity detection in the TJ-II stellarator
A novel sparse encoding algorithm is developed to detect and study plasma instabilities automatically. This algorithm, called Elastic Random Mode Decomposition, is applied to the Mirnov coil signals of a dataset of 1291 discharges of the TJ-II stellarator, enabling the identification of the Alfvénic...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2024-01-01
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| Colecção: | Nuclear Fusion |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/1741-4326/ad85f4 |
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