One of the major problems in present tokamaks is the presence of disruptions. If disruptions are not mitigated, they can produce serious damage to the device. Therefore, disruption predictors are needed in order to apply the mitigation techniques in time. In this paper, the real-time implementation in JET of a new type of disruption predictor is presented. The new predictor, single signal predictor based on anomaly detection (SPAD), predicts disruptions detecting anomalies in the locked mode signal. The implementation is based on the Multithreaded Application Real-Time executor framework. Analysis over JET's ITER-like wall campaigns (C28-C34) shows that SPAD was able to predict 83.57% of the disruptions with enough time to apply mitigation techniques. The average anticipation time was 389 ms. In this paper, the real-time implementation will be discussed, as well as the optimizations developed to make the algorithm suitable for real-time processing. Performance results and possible improvements will also be analyzed.
All Science Journal Classification (ASJC) codes
- Nuclear and High Energy Physics
- Nuclear Energy and Engineering
- Electrical and Electronic Engineering
Esquembri, S., Vega, J., Murari, A., Ruiz, M., Barrera, E., Dormido-Canto, S., Felton, R., Tsalas, M., & Valcarcel, D. (2018). Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe. IEEE Transactions on Nuclear Science, 65(2), 836 - 842. https://doi.org/10.1109/TNS.2018.2791719