Novel time-frequency characterization of electrochemical noise data in corrosion studies using Hilbert spectra

被引：94

作者：

Homborg, A. M. ^{[1
]}

van Westing, E. P. M. ^{[2
]}

Tinga, T. ^{[3
]}

Zhang, X. ^{[4
]}

Oonincx, P. J. ^{[3
]}

Ferrari, G. M. ^{[4
]}

de Wit, J. H. W. ^{[5
]}

Mol, J. M. C. ^{[5
]}

机构：

[1] Naval Maintenance & Sustainment Agcy, Royal Netherlands Navy, NL-1780 AM Den Helder, Netherlands

[2] Mat Innovat Inst M2I, NL-2600 GA Delft, Netherlands

[3] Netherlands Def Acad, NL-1780 CA Den Helder, Netherlands

[4] TNO Maritime Mat Performance Ctr, NL-1780 AM Den Helder, Netherlands

[5] Delft Univ Technol, Dept Mat Sci & Engn, NL-2628 CD Delft, Netherlands

来源：

CORROSION SCIENCE | 2013年 / 66卷

关键词：

Mild steel; Stainless steel; Anodic dissolution; Pitting corrosion; EMPIRICAL MODE DECOMPOSITION; STAINLESS-STEEL; PITTING CORROSION; IN-SITU; LOCALIZED CORROSION; CHLORIDE SOLUTION; ORGANIC COATINGS; WAVELET ANALYSIS; TRANSFORM; IDENTIFICATION;

D O I：

10.1016/j.corsci.2012.09.007

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Hilbert spectra, calculated with the Hilbert-Huang transform, are presented here as an analysis technique for the characterization of electrochemical noise data in corrosion studies. A highly detailed decomposition of the original current and potential data is provided in time and frequency simultaneously. Results on the decomposition of individual transients into their instantaneous frequencies at each moment in time are presented for five different corrosion processes: AlS1304 in HCl solutions at different concentrations and AlS1304 as well as mild steel in a 3 wt.% NaCl solution. The results demonstrate the potential of this technique to identify and distinguish different corrosion mechanisms. (c) 2012 Elsevier Ltd. All rights reserved.

引用

页码：97 / 110

页数：14

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