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

Homborg, A.M.; Tinga, Tiedo; Zhang, X.; Westing, E.P.M. van; Oonincx, P.J.; Ferrari, G.; Wit, J.H.W. de; Mol, J.M.C.

doi:10.1016/j.electacta.2013.04.085

Cited by 67 publications

(51 citation statements)

References 44 publications

(101 reference statements)

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“…The principle of selecting WTMM for the determination of the Holder exponent is based on the procedure of transient analysis, as presented by the authors in earlier work [35]. This method allows the determination of transient locations in the EN signal.…”

Section: Wavelet Transform Modulus Maxima and Holder Exponentmentioning

confidence: 99%

“…As an example of the application of HHT to the analysis of EN signals, it is used to identify corrosion inhibition [33] or microbiologically influenced corrosion [34]. One of the most important challenges that can be overcome by using time-frequency data analysis methods is the ability of these techniques to analyse individual transients generated by localized corrosion processes [35]. This ability however introduces a new issue, since the typical spread of low frequency information over time in a CWT spectrum can impede the association of this localized frequency information with specific transients.…”

Section: Introductionmentioning

confidence: 99%

“…The resulting corrosion processes of the AISI304 therefore differ for each data set, as the authors described in earlier work [20]. These material-electrolyte combinations are selected, because the results are well-defined corrosion characteristics, which were investigated by the authors earlier using the HHT and reported elsewhere [20,35]. It is therefore the primary objective of the current work to introduce the novel data-analysis procedure with the application of modulus maxima and the Holder exponent combined with transient analysis, and to investigate its rubustness using these well-known corrosion processes.…”

Section: Introductionmentioning

confidence: 99%

“…The experimental setup is identical to the one described in [35]. The experiments comprise of two identical AISI304 working electrodes and one reference electrode, type Radiometer analytical Red Rod REF201 (Ag/AgCl/sat.…”

Section: Experimental Materials and Experimental Set-upmentioning

confidence: 99%

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Wavelet Transform Modulus Maxima and Holder Exponents Combined with Transient Detection for the Differentiation of Pitting Corrosion Using Electrochemical Noise

2018

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A potentially powerful tool to detect and classify corrosion mechanisms is the analysis of electrochemical noise (EN). Data analysis in the time-frequency domain using e.g. continuous wavelet transform (CWT) allows the extraction of localized frequency information, providing information on the type of corrosion, i.e. uniform or localized corrosion, from the EN signal. The CWT provides the opportunity to analyse changes in frequency behavior of electrochemical noise signals over time. In the presence of transients generated by pitting corrosion that occur only during short instants of time, this is an important property. This paper introduces the combination of automated transient detection with wavelet transform modulus maxima (WTMM) and the Holder exponent. WTMM enhances the determination of transient frequencies by indicating the ridges of a CWT spectrum. The Holder exponent, a measure of singularity of an EN signal, provides a single parameter discrimination tool based on WTMM and serves to differentiate between general corrosion and two types of pitting corrosion of stainless steel AISI304 exposed to aqueous HCl solutions of different concentrations and as such at different pH values.

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Section: Wavelet Transform Modulus Maxima and Holder Exponentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Experimental Materials and Experimental Set-upmentioning

confidence: 99%

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Wavelet Transform Modulus Maxima and Holder Exponents Combined with Transient Detection for the Differentiation of Pitting Corrosion Using Electrochemical Noise

2018

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“…Also statistical models such as shot noise theory [19,20] and mathematical analysis such as Hilbert spectra [21,22] can be implemented to obtain quantitative measures of corrosion mechanism.…”

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confidence: 99%

A critical review of electrochemical noise measurement as a tool for evaluation of organic coatings

Jamali

Mills

2016

Progress in Organic Coatings

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The simplicity of measuring equipment and versatility of data analysis makes electrochemical noise measurement an ideal technique for acquiring electrochemical information about the corrosion behavior of a painted metal relatively quickly. Hence the method has great potential for use in the laboratory as well as in field situations. However, special care must be taken in choosing data acquisition parameters, reference electrodes and symmetry of electrodes in order to achieve reproducible measurements. These areas have been discussed in this review along with methods of data analysis, alternative electrode configurations for on-site measurements and novel applications of the technique. AbstractThe simplicity of measuring equipment and versatility of data analysis makes electrochemical

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Correlated pitting stages of 304 stainless steel with recurrence quantification analysis of electrochemical noise

Zhang

2018

Materials & Corrosion

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Pitting corrosion behavior of 304 stainless steel (SS) in ferric chloride solutions with different concentrations was investigated by morphology observation and electrochemical noise (EN) analysis. The pitting stages were related to recurrence quantification analysis (RQA) of EN. It was found that the pitting stages of 304 SS in 0.02 and 0.3 M ferric chloride solutions mainly consist of metastable pitting and stable pitting through the morphology observation and wavelet analysis of EN. Through cluster analysis for the whole RQA variables the RQA results can accurately correlate with the pitting stages. The cluster results revealed that the metastable pitting of 304SS has high recurrence rate (RR) and determinism (DET), while the stable pitting has low RR and DET.

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

Cited by 67 publications

References 44 publications

Wavelet Transform Modulus Maxima and Holder Exponents Combined with Transient Detection for the Differentiation of Pitting Corrosion Using Electrochemical Noise

Wavelet Transform Modulus Maxima and Holder Exponents Combined with Transient Detection for the Differentiation of Pitting Corrosion Using Electrochemical Noise

A critical review of electrochemical noise measurement as a tool for evaluation of organic coatings

Correlated pitting stages of 304 stainless steel with recurrence quantification analysis of electrochemical noise

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