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On the Long-Term Correlations and Multifractal Properties of Electric Arc Furnace Time Series.
- Source :
-
International Journal of Bifurcation & Chaos in Applied Sciences & Engineering . Jan2016, Vol. 26 Issue 1, p-1. 9p. - Publication Year :
- 2016
-
Abstract
- In this paper, we study long-term correlations and multifractal properties elaborated from time series of three-phase current signals from an industrial electric arc furnace. Implicit sinusoidal trends are suitably detected by considering the scaling of the fluctuation functions. Time series are then filtered via a Fourier-based analysis to remove such strong periodicities. In the filtered time series we detected long-term, positive correlations. The presence of positive correlations is in agreement with the typical V-I characteristic (hysteresis) of the electric arc furnace, thus providing a sound physical justification for the memory effects found in the current time series. The multifractal signature is strong enough in the filtered time series to be effectively classified as multifractal. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02181274
- Volume :
- 26
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- International Journal of Bifurcation & Chaos in Applied Sciences & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 113137057
- Full Text :
- https://doi.org/10.1142/S0218127416500073