Thermonuclear plasmas are complex and highly non-linear physical objects and therefore, in the most advanced present day devices for the study of magnetic confinement fusion, thousands of signals have to be acquired for each experiment, in order to progress with the understanding indispensable for the final reactor. On the other hand, the resulting massive databases, more than 40 Tbytes in the case of the JET joint Undertaking, pose significant problems. In this paper, solutions to reduce the shear amount of data by different compression techniques and adaptive sampling frequency architectures are presented. As an example of methods capable of providing significant help in the data analysis and real time control, a Classification and Regression Tree software is applied to the problem of regime identification, to discriminate in an automatic way whether the plasma is in the L or H confinement mode.
|Publication status||Published - 2008|
|Event||Computational Intelligence in Decision and Control - 8th International FLINS Conference - , Spain|
Duration: 1 Jan 2008 → …
|Conference||Computational Intelligence in Decision and Control - 8th International FLINS Conference|
|Period||1/1/08 → …|
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Information Systems and Management
- Control and Systems Engineering
Murari, A., Vega, J., De Arcas, G., & Vagliasindi, G. (2008). New information processing methods for control in magnetically confinement nuclear fusion. Paper presented at Computational Intelligence in Decision and Control - 8th International FLINS Conference, Spain.