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...

Descrición completa

Detalles Bibliográficos

Principais autores:	E.d.D. Zapata-Cornejo, D. Zarzoso, S.D. Pinches, A. Bustos, A. Cappa, E. Ascasibar
Formato:	Artigo
Idioma:	Inglês
Publicado:	IOP Publishing 2024-01-01
Series:	Nuclear Fusion
Assuntos:	Alfvénic activity unsupervised learning TJ-II sparse coding elastic net Gabor atoms
Acceso en liña:	https://doi.org/10.1088/1741-4326/ad85f4
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!