Title
On The Long-Term Correlations And Multifractal Properties Of Electric Arc Furnace Time Series
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.
Year
DOI
Venue
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 Livi130425.67
Enrico Maiorino2212.91
Antonello Rizzi336341.68
Alireza Sadeghian426925.59