Electrochemical noise: a review of experimental setup, instrumentation and DC removal

Xia, Da-Hai; Behnamian, Yashar

doi:10.1134/s1023193515070071

Cited by 74 publications

(37 citation statements)

References 67 publications

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“…Lots of methods have been used for noise analysis in particular Fourier, wavelet, polynomial, and other types of signal-noise processing methods [21,22]. Nevertheless the question of QP processing interpretation is still open.…”

Section: Introductionmentioning

confidence: 99%

New approach for PEMFC diagnostics based on quantitative description of quasi-periodic oscillations

Nigmatullin

Martemianov

Evdokimov

et al. 2016

International Journal of Hydrogen Energy

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Section: Introductionmentioning

confidence: 99%

New approach for PEMFC diagnostics based on quantitative description of quasi-periodic oscillations

Nigmatullin

Martemianov

Evdokimov

et al. 2016

International Journal of Hydrogen Energy

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“…The zero resistance ammeter (ZRA) mode was adopted for detection, and the sampling frequency was 2 Hz [6,20]. The DC components in all the EN data were removed using a quintic polynomial fitting [21][22][23].…”

Section: En Measurement System and Experimentsmentioning

confidence: 99%

Quantification of the Atmospheric Corrosion of 304 and 2205 Stainless Steels Using Electrochemical Probes Based on Thevenin Electrochemical Equivalent Circuit Model

Zhu

Song

et al. 2020

Trans. Tianjin Univ.

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Stainless steel (SS) is one of the most widely used engineering materials in marine engineering. However, its corrosion in the marine atmospheric environment due to the high concentration of Cl − is a problem. The SS corrosion is a threat to the development and security of marine industry; therefore, evaluating the corrosion resistance of SSs is necessary. In this work, atmospheric corrosion detection probes based on a symmetrical electrode system were used to study the corrosion behaviors of 304 SS and 2205 duplex stainless steel (DSS) in a simulated marine atmosphere. A theoretical model for electrochemical noise (EN) data analysis based on the Thevenin electrochemical equivalent circuit (EEC) model was established. The relationship between the EN characteristic parameters and the corrosion rate was obtained. The Thevenin EEC model analysis showed that the relationship between the noise resistance (R n ), the noise impedance [R sn (f)], and the impedance modulus (|Z(f)|) was R n ≈ R sn = √ 3 �Z(f )� . Thus, R n and R sn can be used as indicators for quantitative corrosion evaluation. The results of EN detection for the 304 SS and 2205 DSS showed that in a simulated marine atmospheric environment, the passive films on the two SSs were relatively intact at the initial exposure stage, and their dissolution rates were slow. The corrosion resistance of the 2205 DSS was higher than that of the 304 SS. With the deposition of Cl − on the SS surface, pitting was initiated and the dissolution rate increased. The pitting initiation process on the SS surface was random, and part of the active pores could be repassivated.

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“…and shown in Table . According to Huang et al

(I_{1}, I_{2}) = true(2^{j} normalΔ t, 2^{j - 1} normalΔ t true)

and Xia et al, s8 crystal reflects the DC trend, so the wavelet fitting was employed to remove the DC trend: s8 crystal was reconstructed to obtained the DC trend and then the raw signal subtract the DC trend. The energy distribution plots (EDP) of d1–d8 crystals were calculated to represent the results of DWT.…”

Section: En Analysismentioning

confidence: 99%

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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Electrochemical noise: a review of experimental setup, instrumentation and DC removal

Cited by 74 publications

References 67 publications

New approach for PEMFC diagnostics based on quantitative description of quasi-periodic oscillations

New approach for PEMFC diagnostics based on quantitative description of quasi-periodic oscillations

Quantification of the Atmospheric Corrosion of 304 and 2205 Stainless Steels Using Electrochemical Probes Based on Thevenin Electrochemical Equivalent Circuit Model

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

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