Dynamic clustering and neuro-fuzzy identification for the analysis of fusion plasma signals

J. A. Martin H, M. Santos, G. Farias, N. Duro, J. Sanchez, R. Dormido, S. Dormido-Canto, J. Vega

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Measurements in long pulse devices like ITER require the use of intelligent techniques to detect interesting events and anomalous behaviors within a continuous data flow. This detection will trigger the execution of some experimental procedures such as: increasing sampling rates, starting data sampling in additional channels or notifying the event to other diagnostics. In a first approach, an interesting event can be any non-average behavior in the expected temporal evolution of the waveforms. Therefore, a model of the signals is needed. In this work, a model that represents each type of plasma signal is obtained by means of fuzzy inference systems (FIS) which are generated by applying adaptive neuro-fuzzy techniques. The purpose of this neuro-fuzzy modeling is to identify patterns of these groups of data to produce a concise representation of a signal. Previously the signals have been preprocessed and a new dynamic clustering strategy based on a partitioning method has been applied to obtain the clusters. Off-line analyses have been applied to bolometric signals of the fusion device TJ-II Stellator with encouraging results.

Idioma originalInglés
Título de la publicación alojada2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOI
EstadoPublicada - 2007
Publicado de forma externa
Evento2007 IEEE International Symposium on Intelligent Signal Processing, WISP - Alcala de Henares, Espana
Duración: 3 oct. 20075 oct. 2007

Serie de la publicación

Nombre2007 IEEE International Symposium on Intelligent Signal Processing, WISP

Conferencia

Conferencia2007 IEEE International Symposium on Intelligent Signal Processing, WISP
País/TerritorioEspana
CiudadAlcala de Henares
Período3/10/075/10/07

Huella

Profundice en los temas de investigación de 'Dynamic clustering and neuro-fuzzy identification for the analysis of fusion plasma signals'. En conjunto forman una huella única.

Citar esto