Perspectives of Intermittency in the Edge Turbulence of Fusion Devices

Jha, Ratneshwar; Kaw, P. K.; Das, Amita

doi:10.1007/1-4020-3109-2_9

Cited by 2 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The h͑͒ represents the true frequency spectrum in the sense that it is obtained from the empirical modes that are present in the data. 4 The present study shows that higher frequency components are also nonstationary. The Fourier modes have constant ͑time independent͒ frequencies and therefore cannot detect nonstationarity in the time series data.…”

Section: -5supporting

confidence: 52%

“…4 Hilbert transform based techniques may provide useful information in this matter since they can facilitate em-pirical extraction of a few discrete modes that admit instantaneous amplitudes and frequencies. A primary motivation for such an approach is to examine whether it can provide any additional insights into some of the outstanding issues regarding the principal characteristics of plasma turbulence.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of tokamak data using a novel Hilbert transform based technique

2006

Self Cite

View full text Add to dashboard Cite

A novel data analysis technique based on the "empirical mode decomposition" and Hilbert transform is applied to the analysis of edge fluctuation data and Mirnov coil data from the ADITYA tokamak ͓S. B. Bhatt et al., Ind. J. Pure Appl. Phys. 27, 710 ͑1989͔͒. It is shown that the edge fluctuations can be well represented by a finite number of about 10 discrete modes. Their instantaneous energies show intermittent bursts and the high frequency modes are nonstationary. The technique is further developed to study three-mode interactions and employed to show that triplet interactions are statistically significant among high frequency modes of the fluctuation data. A general critique of the method is presented and its utility for the analysis of nonlinear phenomena in complex systems like plasma turbulence is highlighted.

show abstract

Section: -5supporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%