2005
DOI: 10.1016/j.jelechem.2005.03.046
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Application of recurrence plots as a new tool in the analysis of electrochemical oscillations of copper

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Cited by 53 publications
(33 citation statements)
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References 34 publications
(29 reference statements)
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“…The high values of %D from 75% to 98% correspond physically to localised corrosion processes and the behaviour of this dynamical system as pointed out by CazaresIbañez et al is quasi-periodic [33]. The high value of %D for the stainless steel in solubilised condition is associated to the effect of 0.5 M H 2 SO 4 ?…”
Section: Recurrence Plots Analysismentioning
confidence: 65%
“…The high values of %D from 75% to 98% correspond physically to localised corrosion processes and the behaviour of this dynamical system as pointed out by CazaresIbañez et al is quasi-periodic [33]. The high value of %D for the stainless steel in solubilised condition is associated to the effect of 0.5 M H 2 SO 4 ?…”
Section: Recurrence Plots Analysismentioning
confidence: 65%
“…The percent determinism (D%), contained the information about the duration of a stable interaction: the longer the interactions, the higher the D% value. Some researchers [33][34][35][36] further revealed that higher the D% value, the higher stable localized corrosion weight of all the corrosion events occurred on the metal surface. The D% value of Ni-Cr-Mo-V steel with and without crevice was illustrated in Fig.…”
Section: Recurrence Plots Analysismentioning
confidence: 99%
“…Some researchers pointed out that EN signals show chaos nature and the geometry of the dynamics exploiting nonlinear dependencies even in non-stationary time series [33][34][35][36]. Recurrence plots analysis is new approach to study the behavior of non-linear dynamical systems [33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The time series located at the same channel positions with and without magnetic field are studied using phase space reconstruction methods and more specifically the Cross Recurrence Plots (CRPs) method (Eckmann et al 1987;Marwan 2003) and the Cross Recurrence Quantification Analysis (CRQA) (Webber and Zbilut 1994;Marwan et al 2003Marwan et al , 2007 which extracts quantitative information from CRPs. CRQA is the extension of the Recurrence Quantification Analysis method which has been used in the study of various dynamical systems such as proteins (Zbilut et al 2004;Giuliani et al 2002), corrosion (Cazares -Ibanez et al 2005), financial systems (Strozzi et al 2002;Fabretti and Ausloos 2005), physiological systems (Marwan et al 2002a, b;Marwan and Meinke 2004;Riley et al 1999), molecular systems (Karakasidis et al 2007), among many others. The CRP method is applied on climatological and geophysical data (Marwan et al 2002a, b;, financial data (Addoa et al 2013;Crowley and Aaron 2010), engineering data (Nichols et al 2006;Shockley et al 2002;Serrà et al 2009;Wang et al 2012), astronomical data (Deng et al 2013;Ponyavin and Zolotova 2004;Sparavigna 2008), Physics and Mathematics (Ganapathy et al 2007), Biology etc.…”
Section: Introductionmentioning
confidence: 99%