Title | ||
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On The Long-Term Correlations And Multifractal Properties Of Electric Arc Furnace Time Series |
Abstract | ||
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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. |
Year | DOI | Venue |
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2016 | 10.1142/S0218127416500073 | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS |
Keywords | Field | DocType |
Electric arc furnace, multifractal analysis, time series analysis, Fourier detrending | Electric arc furnace,Time series,Probability and statistics,Mathematical analysis,Hysteresis,Fourier transform,Scaling,Mathematics,Multifractal system | Journal |
Volume | Issue | ISSN |
26 | 1 | 0218-1274 |
Citations | PageRank | References |
2 | 0.44 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lorenzo Livi | 1 | 304 | 25.67 |
Enrico Maiorino | 2 | 21 | 2.91 |
Antonello Rizzi | 3 | 363 | 41.68 |
Alireza Sadeghian | 4 | 269 | 25.59 |