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  Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure

Braun, T., Unni, V., Sujith, R., Kurths, J., Marwan, N. (in press): Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure. - Nonlinear Dynamics.

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Braun, Tobias1, Autor              
Unni, Vishnu2, Autor
Sujith, R.I.2, Autor
Kurths, Jürgen1, Autor              
Marwan, Norbert1, Autor              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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Schlagwörter: Recurrence Plots; Regime Shifts; Lacunarity; Nonlinear time series; Thermoacoustic Instability
 Zusammenfassung: We propose lacunarity as a novel recurrence quantification measure and illustrate its efficacy to detect dynamical regime transitions which are exhibited by many complex real-world systems. We carry out a recurrence plot based analysis for different paradigmatic systems and nonlinear empirical data in order to demonstrate the ability of our method to detect dynamical transitions ranging across different temporal scales. It succeeds to distinguish states of varying dynamical complexity in the presence of noise and nonstationarity, even when the time series is of short length. In contrast to traditional recurrence quantifiers, no specification of minimal line lengths is required and rather geometric features beyond linear structures in the recurrence plot can be accounted for. This makes lacunarity more broadly applicable as a recurrence quantification measure. Lacunarity is usually interpreted as a measure of heterogeneity or translational invariance of an arbitrary spatial pattern. In application to recurrence plots, it quantifies the degree of heterogenity in the temporal recurrence patterns at all relevant time scales. We demonstrate the potential of the proposed method when applied to empirical data, namely time series of acoustic pressure fluctuations from a turbulent combustor. Recurrence lacunarity captures both the rich variability in dynamical complexity of acoustic pressure fluctuations and shifting time scales encoded in the recurrence plots. Furthermore, it contributes to a better distinction between stable operation and near blowout states of combustors.

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 Datum: 2021-02-02
 Publikationsstatus: Angenommen
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: MDB-ID: pending
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Tipping Elements
Research topic keyword: Climate impacts
Model / method: Nonlinear Data Analysis
 Art des Abschluß: -

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Titel: Nonlinear Dynamics
Genre der Quelle: Zeitschrift, SCI, Scopus
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Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: Anderer: 1573-269X
ISSN: 0924-090X
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/nonlinear-dynamics
Publisher: Springer