| Autor: |
N.M. Nandhitha Ci, Joydeep Ghosh Pc, B. Sheela Rani Pi, Rakesh L. Tanna pc, G. Yogalakshmi |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
ICCCNT |
| DOI: |
10.1109/icccnt.2018.8494147 |
| Popis: |
A disruption is a violent event that terminates magnetically confined plasma. Most commonly occurring disruptions in Aditya Tokamak are due to Magneto Hydro Dynamic instability, Density limitations, Equilibrium failures, safety factor (q) limit disruptions and Discharge failures due to hardware faults. The major functionality problem in Aditya Tokamak is due to disruption of plasma. Hence the functionality problems can be controlled by choosing the suitable parameter which can identify the plasma disruption by its property and analysis of signal. The signal which undergo plasma disruption can be for various causes and the reason for the disruption needed to be known to avoid the disruption. various transforms like wavelet, framelet etc., can be used for processing the signal and for finding the parameter which can be suitable for diagnosing plasma disruption. the real time data which are obtained from Aditya Tokamak is used for analysis. A detailed study is done and the various causes for disruptions are discussed. The signals are processed and analyzed using various transform and GUI (Graphical User Interface) is created for displaying live demo of analysis and for analyzing the future acquiring signal. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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