2009
DOI: 10.5006/1.3319148
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Wavelet Analysis of Electrochemical Noise Data

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Cited by 32 publications
(10 citation statements)
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“…12 Burstein and Mattin, 6 suggest that passivity breakdown gives rise to current pulses that are of the pA order in magnitude. However, in the light of much work on the origin of electrochemical noise, [13][14][15] it is evident that there are many processes, other than passivity breakdown, that give rise to noise at a passive metal interface, such as bubble detachment, the "flickering" of anodic and cathodic sites across the surface, as in general corrosion, and possibly the existence of intermittently active, low impedance paths along emergent grain boundaries in the nano-crystalline passive film. These paths are intermittent, because the barrier layer continuously forms at the metal/film interface and dissolves at the film/solution interface, so that the grain boundaries between the nano-crystallites are continuously redistributed with time.…”
mentioning
confidence: 99%
“…12 Burstein and Mattin, 6 suggest that passivity breakdown gives rise to current pulses that are of the pA order in magnitude. However, in the light of much work on the origin of electrochemical noise, [13][14][15] it is evident that there are many processes, other than passivity breakdown, that give rise to noise at a passive metal interface, such as bubble detachment, the "flickering" of anodic and cathodic sites across the surface, as in general corrosion, and possibly the existence of intermittently active, low impedance paths along emergent grain boundaries in the nano-crystalline passive film. These paths are intermittent, because the barrier layer continuously forms at the metal/film interface and dissolves at the film/solution interface, so that the grain boundaries between the nano-crystallites are continuously redistributed with time.…”
mentioning
confidence: 99%
“…Wavelet transform is a procedure used in data analyses without the precondition of stationarity or linearity and with a high distinguishing capacity in frequency domain simultaneously …”
Section: Resultsmentioning
confidence: 99%
“…[35][36][37][38][39] An advantage of wavelet analysis is that the time domain information is preserved and non-stationary time records can be analyzed without detrending and windowing. [40] In the present investigation, the orthogonal wavelet transform, (OWT), was used to analyze the detrended potential noise-time record. [38,39] In this method, as well reported in literature, [35][36][37][38][39][40] an EN time record, x(t) = X n (n = 1. .…”
Section: Wavelet Analysismentioning
confidence: 99%