Electrochemical noise signals evaluation to classify the type of corrosion using Synchrosqueezing transform

Arellano-Pérez, J.H.; Escobar-Jiménez, R.F.; Granados-Lieberman, David; Gómez‐Aguilar, J.F.; Uruchurtu-Chavarı́n, J.; Alvarado-Martínez, V.M.

doi:10.1016/j.jelechem.2019.113249

Cited by 23 publications

(15 citation statements)

References 38 publications

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“…Authors agree with the higher exactitude of skewness and kurtosis compared to the localization index method (LI) [65,98,[102][103][104][105][106], but this also generated discrepancies due to the limitations of statistical analysis for chaotic systems. For this reason, diverse authors [31,39,57,61,[102][103][104][105][106][107] recommend using this method with discretion. The results of skewness and kurtosis presented divergences in NaCl, while skewness showed uniform corrosion results and kurtosis presented pitting, making a divergence in results.…”

Section: Discussionmentioning

confidence: 89%

“…The application of statistical results to determine mechanism was discussed previously by Cottis, Eden, Turgoose, Sun, Mansfeld, Botana, Gaona-Tiburcio, Sanchez Amaya [29,30,54,58,[97][98][99][100][101][102][103], and looking for a better method, Eden proposed an analysis by skewness and kurtosis and patented it with Reid [56]. Authors agree with the higher exactitude of skewness and kurtosis compared to the localization index method (LI) [65,98,[102][103][104][105][106], but this also generated discrepancies due to the limitations of statistical analysis for chaotic systems. For this reason, diverse authors [31,39,57,61,[102][103][104][105][106][107] recommend using this method with discretion.…”

Section: Discussionmentioning

confidence: 99%

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Electrochemical Noise Analysis of the Corrosion of Titanium Alloys in NaCl and H2SO4 Solutions

Jáquez-Muñoz

Gaona-Tiburcio

Miramontes

et al. 2021

Metals

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Titanium alloys have been used in aerospace, aeronautic, automotive, biomedical, structural, and other applications because titanium alloys have less density than materials like steel and support higher stress than Al-alloys. However, components made of titanium alloys are exposed to corrosive environments, the most common being industrial and marine atmospheres. This research shows the corrosion behavior of three titanium alloys, specifically Ti-CP2, Ti-6Al-2Sn-4Zr-2Mo, and Ti-6Al-4V with α, near α, and α + β alloys phases. Alloys were exposed in two electrolytes to a 3.5 wt. % H2SO4 and NaCl solution at room temperature, and their electrochemical behavior was studied by electrochemical noise technique (EN) according to ASTM ASTM-G199 standard. EN signal was filtered by three different methods, and the polynomial method was employed to obtain Rn, kurtosis, skew, and the potential spectral density analysis (PSD). The wavelets method was used, from which energy dispersion plots were obtained. The last method was Hilbert–Huang Transform (HHT), where Hilbert Spectra were analyzed. Results indicated that Rn compared with PSD showed that Ti-6Al-2Sn-4Zr-2Mo presented less dissolution in both electrolytes. Statistical methods showed that the passive layer created on Ti alloys’ surfaces is unstable; this condition is notable for Ti-6Al-2Sn-4Zr-2Mo in NaCl solution.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Electrochemical Noise Analysis of the Corrosion of Titanium Alloys in NaCl and H2SO4 Solutions

Jáquez-Muñoz

Gaona-Tiburcio

Miramontes

et al. 2021

Metals

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“…En la figura 16, de potencial en función del tiempo, se muestra un potencial anódico para el material desnudo; mientras que para el material recubierto se presenta un potencial menos anódico, caracterizado por ser constante a medida que transcurre el tiempo. La figura 17, de corriente, muestra una menor densidad de corriente para el material recubierto, lo cual, aunado a los resultados obtenidos por espectroscopia de impedancia electroquímica, evidencia una mejora en la resistencia a la corrosión para el material recubierto [16]- [18], [23], [25]- [27].…”

Section: Discusión De Resultadosunclassified

“…Este comportamiento tiende a permanecer a medida que transcurre el tiempo de inmersión [21]- [23]; sin embargo, en el material recubierto por proyección térmica a 0 h aparecen dos constantes de tiempo que evolucionan a una constante de tiempo situada a bajas frecuencias y que presenta un incremento en el ángulo de fase [15], [17], [21]. En la figura 17 se detalla una mayor densidad de corriente para el material desnudo y una disminución gradual para el material recubierto, con una característica constante para las 300 h de evaluación [25]- [27].…”

Section: Espectroscopia De Impedancia Electroquímicaunclassified

Caracterización electroquímica de recubrimientos Zn-Al sobre fundición nodular grado 2, obtenidos por proyección térmica por flama con alambre

Diaz

Ortiz-Godoy

Navarro

et al. 2020

Avances

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La proyección térmica o rociado térmico es una tecnología que implica calentar un material que está en forma de polvo o alambre y llevarlo a un estado fundido o semifundido, para luego propulsarlo mediante una corriente de gas o aire comprimido y depositarlo sobre un sustrato metálico, cerámico o polimérico, que tenga condiciones de rugosidad adecuadas. La investigación realizó la caracterización electroquímica mediante las técnicas de espectroscopia de impedancia electroquímica y ruido electroquímico de una aleación Zn-15Al depositada sobre una fundición nodular grado 65-45-12 (2), por medio de la técnica de proyección térmica por llama con alambre, donde el recubrimiento de Zn-Al presenta buena homogeneidad, buena adherencia y una mejora sustancial en la resistencia a la corrosión.

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“…All electrochemical tests are measured in Faradi cage. The reference electrode (RE), working electrode (WE) and counter electrode (CE) were all used Q235 steel samples (MA et al , 2017; Arellano-Pérez et al , 2019). The frequency was set to 2 Hz.…”

Section: Methodsmentioning

confidence: 99%

A novel method for identifying corrosion types and transitions based on Adaboost and electrochemical noise

Ren

Li²,

Yang

et al. 2023

ACMM

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Purpose The purpose of this paper is to identify corrosion types and corrosion transitions by a novel electrochemical noise analysis method based on Adaboost. Design/methodology/approach The corrosion behavior of Q235 steel was investigated in typical passivation, uniform corrosion and pitting solution by electrochemical noise. Nine feature parameters were extracted from the electrochemical noise data based on statistical analysis and shot noise theory. The feature parameters were analysis by Adaboost to train model and identify corrosion types. The trained Adaboost model was used to identify corrosion type transitions. Findings Adaboost algorithm can accurately identify the corrosion type, and the accuracy rate is 99.25%. The identification results of Adaboost for the corrosion type are consistent with corroded morphology analysis. Compared with other machine learning, Adaboost can identify corrosion types more accurately. For corrosion type transition, Adaboost can effectively identify the transition from passivation to uniform corrosion and from passivation to pitting corrosion consistent with corroded morphology analysis. Originality/value Adaboost is a suitable method for prediction of corrosion type and transitions. Adaboost can establish the classification model of metal corrosion, which can more conveniently and accurately explore the corrosion types. Adaboost provides important reference for corrosion prediction and protection.

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Electrochemical noise signals evaluation to classify the type of corrosion using Synchrosqueezing transform

Cited by 23 publications

References 38 publications

Electrochemical Noise Analysis of the Corrosion of Titanium Alloys in NaCl and H2SO4 Solutions

Electrochemical Noise Analysis of the Corrosion of Titanium Alloys in NaCl and H2SO4 Solutions

Caracterización electroquímica de recubrimientos Zn-Al sobre fundición nodular grado 2, obtenidos por proyección térmica por flama con alambre

A novel method for identifying corrosion types and transitions based on Adaboost and electrochemical noise

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