This paper describes the implementation of a real-time disruption predictor that is based on support vector machine (SVM) classifiers. The implementation was performed under the MARTe framework on a six-core x86 architecture. The system is connected via JET's Real-time Data Network (RTDN). The online results show a high degree of successful predictions and a low rate of false alarms, thus confirming the usefulness of this approach in a disruption mitigation scheme. The implementation shows a low computational load, which will be exploited in the immediate future to increase the prediction's temporal resolution. © 2014 IEEE.
All Science Journal Classification (ASJC) codes
- Nuclear and High Energy Physics
- Nuclear Energy and Engineering
- Electrical and Electronic Engineering
Lopez, J. M., Vega, J., Alves, D., Dormido-Canto, S., Murari, A., Ramirez, J. M., ... De Arcas, G. (2014). Implementation of the disruption predictor APODIS in JET's real-time network using the MARTe framework. IEEE Transactions on Nuclear Science, 61(2), 741 - 744. . https://doi.org/10.1109/TNS.2014.2309254