Speaker
Description
A series of methods, based on the time series analysis of the main plasma diagnostic signals, are used to determine when significant changes in the plasma dynamics of the tokamak configuration occur, indicating the onset of drifts towards a disruption. Dynamical indicators, such as embedding dimension, 0-1 chaos test, recurrence plots measures, but also informational criteria, such as information impulse function quantifying information without entropy, have been tested to detect the time intervals when the plasma dynamics drifts towards situations that are likely to lead to disruptions. The methods allow a good estimation of the intervals, in which the anomalous behaviors manifest themselves, which is very useful for building significantly more appropriate training sets for various kinds of disruption predictors. As they are based on completely different mathematical principles, they are providing robust information about these intervals. Some of the developed methods may also be implemented themselves as stand-alone predictors for real time deployment.
Acknowledgements: This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 - EUROfusion). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.
One of the authors (T.C.) acknowledges also the support of the Romanian National Core Program LAPLAS VII – no. 30N/2023.
| Speaker's Affiliation | Natl. Inst. for Lasers, Plasma and Radiation Physics, Bucharest-Magurele |
|---|---|
| Member State or IGO/NGO | Romania |
