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research article

Real-time implementation with FPGA-based DAQ system of a probabilistic disruption predictor from scratch

Vega, J.
•
Ruiz, M.  
•
Barrera, E.
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April 1, 2018
Fusion Engineering And Design

Real-time (RT) disruption prediction (DP) is essential to trigger mitigation actions that avoid irreversible damage to the devices. This paper deals with disruption mitigation alarms and performs the RT implementation of a probabilistic predictor. The RT implementation has been carried out with a fast controller with DAQ FPGA-based data acquisition devices corresponding to ITER catalogue (in particular, a reconfigurable Input/Output platform has been used). Up to three input signals have been used and relevant information for the prediction is extracted from the temporal and the frequency domains. The signals are read from the JET database. Then D/A conversions are carried out and used as inputs to the real time system. In this way, the whole process of digitization, data analysis and prediction is performed. The computation time for each prediction takes less than 200 mu s.

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Type
research article
DOI
10.1016/j.fusengdes.2018.02.071
Web of Science ID

WOS:000431094100028

Author(s)
Vega, J.
Ruiz, M.  
Barrera, E.
Castro, R.
Ratta, G. A.
Dormido-Canto, S.
Murari, A.
Bernal, E.
Abduallev, S.
Abhangi, M.
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Date Issued

2018-04-01

Published in
Fusion Engineering And Design
Volume

129

Start page

179

End page

182

Subjects

Nuclear Science & Technology

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disruption prediction

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real-time

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machine learning

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venn predictors

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data acquisition

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fpga

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classification

Note

11th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research (TM CODAC), May 08-12, 2017, Greifswald, GERMANY

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SPC  
Available on Infoscience
September 20, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/161361
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