New information processing methods for control in magnetically confinement nuclear fusion

A. Murari, J. Vega, G. De Arcas, G. Vagliasindi

Research output: Contribution to conferencePaper

Abstract

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.
Original languageEnglish
Publication statusPublished - 2008
Externally publishedYes
EventComputational Intelligence in Decision and Control - 8th International FLINS Conference - , Spain
Duration: 1 Jan 2008 → …

Conference

ConferenceComputational Intelligence in Decision and Control - 8th International FLINS Conference
CountrySpain
Period1/1/08 → …

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems and Management
  • Control and Systems Engineering

Cite this

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.