Analysis of electrochemical noise by power spectral density applied to corrosion studies: Maximum entropy method or fast Fourier transform?

The fast Fourier transform and the maximum entropy method (MEM) provide algorithms for the estimation of the power spectral density (PSD) of fluctuations. Both have been employed for the analysis of electrochemical noise in corrosion studies, and claims have been made concerning the superiority of o...

Full description

Saved in:
Bibliographic Details
Published in:Journal of the Electrochemical Society 1998-08, Vol.145 (8), p.2780-2786
Main Authors: BERTOCCI, U, FRYDMAN, J, GABRIELLI, C, HUET, F, KEDDAM, M
Format: Article
Language:English
Subjects:
Applied sciences
Chemical Sciences
Corrosion
Corrosion environments
Exact sciences and technology
Metals. Metallurgy
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The fast Fourier transform and the maximum entropy method (MEM) provide algorithms for the estimation of the power spectral density (PSD) of fluctuations. Both have been employed for the analysis of electrochemical noise in corrosion studies, and claims have been made concerning the superiority of one method with respect to the other. In this paper, the two methods are compared to assess their relative advantages. A summary of the principles of the MEM is given and its main properties investigated. In particular, the effect on spectrum accuracy of varying the number of coefficients in computing the MEM and the validity of the low-frequency plateau in the PSD usually produced by this technique are examined. Also, the robustness of the two methods is compared when the random process is not completely stable, for instance, in the presence of signal drifts or slowly varying amplitude of the fluctuations. The results presented may be used as a guideline to choose the best computation method as a function of the measurement conditions. Data is presented for copper and 304 SS electrodes.
ISSN:0013-4651
1945-7111
DOI:10.1149/1.1838714