A Review: Theory of Plasma Disruption and Prediction in Tokamak
C. Jayakumar1, J. Sangeetha2

1C.Jayakumar, School of Computing, SASTRA Deemed University, India.
2J.Sangeetha, School of Computing, SASTRA Deemed University, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 691-694 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6784068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The tokamak consists of a series of superconducting magnetic loops in a toroidal chamber that confine and control plasma to generate electricity. Plasma disruptions are rapid results at tokamak that lead to loss of power and magnetic energy stored in the chamber. During disruptions the confinement of plasma is lost within milliseconds where, it provokes severe damages to chamber by releasing extreme forces and heat loads. In this case the last measure to mitigate the effect is injection of pellets or gas in to the chamber vessel. A fundamental knowledge is a pre-requisite to know when to use them to avoid disruption. Theoretical focus is made on two major disruption scenario 1. When does the loss of control becomes likely for a tokamak that is operating in a metastable state? 2. What is the lowest possible level at which we lose plasma control and how the severity of these effects be reduced? The paper shows the theory of tokamak disruptions, tendency to disrupt, avoidance studies, effects of disruption and current disruption prediction techniques.
Keyword: Tokamak, Magnetic field, Plasma, Magnetic island, Signal processing, Machine learning.
Scope of the Article: Regression and Prediction.