The relationship between power spectral density (PSD) and time record of electrochemical noise is investigated through computer simulations in order to interpret the characteristics of the spectra and understand the features in the time records that give rise to them. It is shown that the PSD of EN consisting in a series of time transients strongly depends on the shape of the transients, on their statistical time distribution, and on the distribution function of their amplitude, life time… when these parameters show a random behavior. Simulations, confirmed by a theoretical approach, show that the slopes of the PSD decrease are in 1/f2n when the transients present singular points, which cannot explain all situations encountered in corrosion where the slopes have sometimes odd or non-integer exponents. Further developments investigating the dependence of successive transients are necessary, especially when the electrochemical events giving rise to them are numerous, so that the transients cannot be distinguished in the time record, preventing any time domain analysis to be efficient.

Subject
Electric current, Materials, Voltage, Modeling, Electrochemical noise, Slopes, Derivatives, Deviation, Density, Discontinuities, Oscillation, Constants, Personnel
Keywords:
electrochemical noise, voltage or current transient, computer simulations, power spectral density, time record, Poisson point process, slope
Government work published by the Association for Materials Protection and Performance (AMPP) with permission of the author(s). Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
1999
GOV
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