A new perspective on MHD mode identification of IR-T1 tokamak plasma by frequency filtering and fitting method

Superposition of Magnetohydrodynamic (MHD) modes in Tokamak leads to complications in finding these modes. In order to obtain plasma modes, energy levels and noise filtering powerful methods such as singular value decomposition (SVD) exist. The SVD method is very effective in separating spatial and...

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Bibliographic Details
Published inInternational journal of hydrogen energy Vol. 43; no. 24; pp. 11173 - 11179
Main Authors Ghanbari, M.R., Ghoranneviss, M., Noorizadeh Ardebili, M.R.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 14.06.2018
Subjects
MHD mode
SVD method
Tokamak
MHD mode
Tokamak
SVD method
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Summary:Superposition of Magnetohydrodynamic (MHD) modes in Tokamak leads to complications in finding these modes. In order to obtain plasma modes, energy levels and noise filtering powerful methods such as singular value decomposition (SVD) exist. The SVD method is very effective in separating spatial and temporal dependencies in a set of temporal series which may exist in different spaces. In this paper a new analysis method for finding poloidal modes (m) on Tokamak mirnov oscillations IR-T1 is presented. This approach is based on the frequency filtering and fitting of spatial structure of SVD analysis with the aid of simulation. In the following, momentary analysis of time series main components with the aid of wavelet transform method and also the effect of external electric and magnetic fields on MHD modes are studied. [Display omitted] •New analysis method for finding poloidal modes (m) on Tokamak is presented.•Frequency filtering and fitting of spatial structure of SVD analysis is used.•Effect of external electric and magnetic fields on poloidal modes (m) are studied.
ISSN:0360-3199
1879-3487
DOI:10.1016/j.ijhydene.2018.05.020