Recurrence analysis of quasiperiodicity in experimental fluid data

Y. Zou; M. Thiel; M. C. Romano; P. L. Read; J. Kurths

doi:10.1140/epjst/e2008-00831-7

Recurrence analysis of quasiperiodicity in experimental fluid data

Y. Zou, M. Thiel, M. C. Romano, P. L. Read, J. Kurths

Physics

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

We propose a procedure to analyze experimental data which exhibit different dynamical regimes, namely, periodicity, chaoticity and quasiperiodicity by means of Recurrence Plots (RPs). We show that, based on the recurrence properties captured by RPs, we are able to characterize successfully the type of dynamics. This approach is particularly useful for detecting the existence of quasiperiodic motion in short time series. We show the capability and validity of this method by analyzing time series from fluid experiments.

Original language	English
Pages (from-to)	23-33
Number of pages	11
Journal	The European Physical Journal. Special Topics
Volume	164
Issue number	1
DOIs	https://doi.org/10.1140/epjst/e2008-00831-7
Publication status	Published - Oct 2008

Bibliographical note

A paid open access option is available for this journal.
Pre-print on arXiv and pre-print servers
Pre-print may be replaced with post-print
Post-print on authors website or institutional repository
12 month embargo for deposit in Funding Agency recommended Repositories
Must link to publisher version
Publisher copyright and source must be acknowledged
On a non-profit server
Publisher's version/PDF cannot be used
NIH Authors authors may comply with co-publisher Springers NIH Policy
Wellcome Trust authors may comply via co-publisher Springer's Open Choice

Keywords

time series
systems
synchronization
plots
quantification
annulus

Access to Document

10.1140/epjst/e2008-00831-7

Cite this

@article{f43d2b43e3fe4e21b688c942b6e4c194,

title = "Recurrence analysis of quasiperiodicity in experimental fluid data",

abstract = "We propose a procedure to analyze experimental data which exhibit different dynamical regimes, namely, periodicity, chaoticity and quasiperiodicity by means of Recurrence Plots (RPs). We show that, based on the recurrence properties captured by RPs, we are able to characterize successfully the type of dynamics. This approach is particularly useful for detecting the existence of quasiperiodic motion in short time series. We show the capability and validity of this method by analyzing time series from fluid experiments.",

keywords = "time series, systems, synchronization, plots, quantification, annulus",

author = "Y. Zou and M. Thiel and Romano, {M. C.} and Read, {P. L.} and J. Kurths",

note = "A paid open access option is available for this journal. Pre-print on arXiv and pre-print servers Pre-print may be replaced with post-print Post-print on authors website or institutional repository 12 month embargo for deposit in Funding Agency recommended Repositories Must link to publisher version Publisher copyright and source must be acknowledged On a non-profit server Publisher's version/PDF cannot be used NIH Authors authors may comply with co-publisher Springers NIH Policy Wellcome Trust authors may comply via co-publisher Springer's Open Choice",

year = "2008",

month = oct,

doi = "10.1140/epjst/e2008-00831-7",

language = "English",

volume = "164",

pages = "23--33",

journal = "The European Physical Journal. Special Topics",

issn = "1951-6355",

publisher = "SPRINGER HEIDELBERG",

number = "1",

}

TY - JOUR

T1 - Recurrence analysis of quasiperiodicity in experimental fluid data

AU - Zou, Y.

AU - Thiel, M.

AU - Romano, M. C.

AU - Read, P. L.

AU - Kurths, J.

N1 - A paid open access option is available for this journal. Pre-print on arXiv and pre-print servers Pre-print may be replaced with post-print Post-print on authors website or institutional repository 12 month embargo for deposit in Funding Agency recommended Repositories Must link to publisher version Publisher copyright and source must be acknowledged On a non-profit server Publisher's version/PDF cannot be used NIH Authors authors may comply with co-publisher Springers NIH Policy Wellcome Trust authors may comply via co-publisher Springer's Open Choice

PY - 2008/10

Y1 - 2008/10

N2 - We propose a procedure to analyze experimental data which exhibit different dynamical regimes, namely, periodicity, chaoticity and quasiperiodicity by means of Recurrence Plots (RPs). We show that, based on the recurrence properties captured by RPs, we are able to characterize successfully the type of dynamics. This approach is particularly useful for detecting the existence of quasiperiodic motion in short time series. We show the capability and validity of this method by analyzing time series from fluid experiments.

AB - We propose a procedure to analyze experimental data which exhibit different dynamical regimes, namely, periodicity, chaoticity and quasiperiodicity by means of Recurrence Plots (RPs). We show that, based on the recurrence properties captured by RPs, we are able to characterize successfully the type of dynamics. This approach is particularly useful for detecting the existence of quasiperiodic motion in short time series. We show the capability and validity of this method by analyzing time series from fluid experiments.

KW - time series

KW - systems

KW - synchronization

KW - plots

KW - quantification

KW - annulus

U2 - 10.1140/epjst/e2008-00831-7

DO - 10.1140/epjst/e2008-00831-7

M3 - Article

SN - 1951-6355

VL - 164

SP - 23

EP - 33

JO - The European Physical Journal. Special Topics

JF - The European Physical Journal. Special Topics

IS - 1

ER -

Recurrence analysis of quasiperiodicity in experimental fluid data

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this