|
Docu-menta >
Laboratorio Nacional de Fusión >
Artículos del Laboratorio Nacional de Fusión >
Por favor, use este identificador para citar o enlazar este ítem:
http://documenta.ciemat.es/handle/123456789/4553
|
Título : | Real Time Plasma Disruptions Detection in JET Implemented With the ITMS Platform Using FPGA Based IDAQ |
Autor : | Ruiz, M. Vega, J. Rattá, G.A. Barrera, E. Murari, A. López, J.M. Arcas, G. Meléndez, R. |
Palabras clave : | FPGA Disruption JET Machine learning Instrumentation Nuclear fusion |
Fecha de publicación : | jul-2011 |
Editorial : | IEEE Explore |
Citación : | Ruiz, M., Vega, J., Arcas, G., Ratta, G., Barrera, E., Murari, A., ... & Meléndez, R. (2011). Real time plasma disruptions detection in JET implemented with the ITMS platform using FPGA based IDAQ. IEEE Transactions on Nuclear Science, 58(4), 1576-1581. |
Resumen : | The use of FPGAs in data acquisition cards for processing purposes allows an efficient real time
pattern recognition algorithm implementation. Using 13 JETs database waveforms an algorithm
for detecting incoming plasma disruptions has been implemented. This algorithm is written in
MATLAB using floating point representation. In this work we show the methodology used to implement
the real time version of the algorithm using Intelligent Data Acquisition Cards (IDAQ), DAQ devices
with Field Programmable Gate Array (FPGA) for local processing. This methodology is based on the
translation of the MATLAB code to LabVIEW and the final coding of specific pieces of code in
LabVIEW for FPGA in fixed point format. The whole system for evaluating the Real Time Disruption
Detection (RTDD) has been implemented using the Intelligent Test and Measurement System (ITMS)
platform. ITMS offers distributed data acquisition, distribution and real time processing capabilities
with advanced, but easy to use, software tools that simplify application development and system
setup. The RTDD implementation uses a standard PXI/PXIe architecture. Two 8 channel analog output
cards play JETs database signals, two 8 channel DAQ with FPGA acquire signals and computes a
feature vector based in FFT analysis. Finally the vector acquired is used by the system CPU to execute
a pattern recognition algorithm to estimate an incoming disruption. |
URI : | http://documenta.ciemat.es/handle/123456789/4553 |
ISSN : | 0018-9499 |
Aparece en las colecciones: | Artículos del Laboratorio Nacional de Fusión
|
Los ítems de Docu-menta están protegidos por una Licencia Creative Commons, con derechos reservados.
|