Transient analysis through Hilbert spectra of electrochemical noise signals for the identification of localized corrosion of stainless steel

被引：72

作者：

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

Tinga, T. ^{[2
]}

Zhang, X. ^{[3
]}

van Westing, E. P. M. ^{[4
]}

Oonincx, P. J. ^{[2
]}

Ferrari, G. M. ^{[3
]}

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

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

[4] M2i, NL-2600 GA Delft, Netherlands

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

来源：

ELECTROCHIMICA ACTA | 2013年 / 104卷

关键词：

Electrochemical noise; Hilbert spectra; Localized corrosion; Corrosion identification; EMPIRICAL MODE DECOMPOSITION; SODIUM-CHLORIDE SOLUTION; PITTING CORROSION; WAVELET TRANSFORM; TREND REMOVAL; TIME-SERIES; BEHAVIOR; RESISTANCE; GROWTH; ALLOY;

D O I：

10.1016/j.electacta.2013.04.085

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

Hilbert spectra allow identification of instantaneous frequencies that are attributed to specific corrosion mechanisms in electrochemical noise data. The present work proposes to identify and analyze areas of interest in Hilbert spectra, which enables to obtain valuable frequency information from electrochemical noise signals. Experiments were performed on AISI304 exposed to aqueous HCl solutions at different pH values resulting in either distinct general or localized attack. Results indicate that application of the proposed transient analysis to Hilbert spectra provides a significantly improved determination of the frequency characteristics of the electrochemical noise signals compared to time-frequency data analysis without transient analysis. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：84 / 93

页数：10

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