Identifying corrosion of carbon steel buried in iron ore and coal cargoes based on recurrence quantification analysis of electrochemical noise

Hou, Yang; Aldrich, Chris; Lepková, Kateřina; Kinsella, Brian

doi:10.1016/j.electacta.2018.06.129

Cited by 23 publications

(14 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, some researchers have applied RF to the field of corrosion. Hou used RF to establish a mapping relationship between corrosion current and corrosion type and achieved a good result [29,30]. Therefore, we believe that the RF can be used to build the model of outdoor atmospheric corrosion datasets and further to do corrosion knowledge mining.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Zhi

Zhang

et al. 2019

Metals

View full text Add to dashboard Cite

The objective of this paper is to develop an approach to forecast the outdoor atmospheric corrosion rate of low alloy steels and do corrosion-knowledge mining by using a Random Forests algorithm as a mining tool. We collected the corrosion data of 17 low alloy steels under 6 atmospheric corrosion test stations in China over 16 years as the experimental datasets. Based on the datasets, a Random Forests model is established to implement the purpose of the corrosion rate prediction and data-mining. The results showed that the random forests can achieve the best generalization results compared to the commonly used machine learning methods such as the artificial neural network, support vector regression, and logistic regression. In addition, the results also showed that regarding the effect to the corrosion rate, environmental factors contributed more than chemical compositions in the low alloy steels, but as exposure time increases, the effect of the environmental factors will gradually become less. Furthermore, we give the effect changes of six environmental factors (Cl− concentration, SO2 concentration, relative humidity, temperature, rainfall, and pH) on corrosion with exposure time increasing, and the results illustrated that pH had a significant contribution to the corrosion of the entire process. The paper also dealt with the problem of the corrosion rate forecast, especially for changing environmental factors situations, and obtained the qualitative and quantitative results of influences of each environmental factor on corrosion.

show abstract

Section: Introductionmentioning

confidence: 99%

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Zhi

Zhang

et al. 2019

Metals

View full text Add to dashboard Cite

show abstract

“…The threshold value has a significant influence on the appearance of the RP. In general, the threshold ε has to be chosen to be as small as possible, but a too small ε can lead to false recurrences, which is expressed in numerous vertical structures . On the other hand, if ε is too large, almost all points will be identified as the recurrence points.…”

Section: Resultsmentioning

confidence: 99%

“…In general, the threshold ε has to be chosen to be as small as possible, but a too small ε can lead to false recurrences, which is expressed in numerous vertical structures. [40] On the other hand, if ε is too large, almost all points will be identified as the recurrence points. In the present work, the threshold value was selected based on the standard deviation of the detrended EN time records.…”

Section: Methodsmentioning

confidence: 99%

“…This advantage is supplemented by the independence of the RP on the constraints, such as the data set size. Therefore, RP is very useful for analyzing the electrochemical noise data …”

Section: Introductionmentioning

confidence: 99%

“…Therefore, RP is very useful for analyzing the electrochemical noise data. [35,[37][38][39][40][41][42] RQA is a developed approach based on the RP for the quantitative analysis of dynamic systems. There are three types of RQA parameters extracting point-wise, diagonalwise and laminar-wise statistics, defined as recurrence rate (R), determinism (D) and laminarity (L am ), respectively.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Advantages of asymmetrical over symmetrical cells for detection of under deposit CO₂ corrosion using electrochemical noise

Zeidabadinejad

Shahidi

Foroughi

et al. 2019

Materials & Corrosion

View full text Add to dashboard Cite

Electrochemical noise (EN) measurements were done on symmetrical and asymmetrical cells after immersion in 3.5% NaCl solutions saturated with CO2 and containing different concentrations of sodium bicarbonate to get a better interpretation of the under‐deposit corrosion of mild steel. The symmetrical cell was constructed from two sand‐deposited electrodes and the asymmetrical cell was prepared from one sand‐deposited electrode and one bare electrode. The combination of the standard deviation of partial signal (SDPS) plots arising from wavelet analysis and recurrence plots for analyzing the EN signals obtained from symmetrical and asymmetrical cells confirmed the higher detective ability of the asymmetrical cells in comparison with the symmetrical cells for measuring the under‐deposit corrosion of mild steel. Both the SDPS and recurrence plots arising from symmetrical cells showed no significant change in the corrosion severity of the steel alloy with adding sodium bicarbonate. In contrast, the SDPS and recurrence plots of the asymmetrical cells proved that the corrosion severity decreased initially with adding the bicarbonate and thereafter remained constant with increasing the bicarbonate concentration. The optical microscopy images of the sand‐covered electrode surface confirmed the latter result.

show abstract

Nonlinear dynamics of ascorbic acid‐KI interaction on carbon steel corrosion in acid medium

Garcı́a-Ochoa

Maldonado‐Rivas

Corvo

2023

Materials & Corrosion

View full text Add to dashboard Cite

Ascorbic acid (AA) has been reported as a corrosion inhibitor of carbon steel. The combined effect of AA and potassium iodide (KI) in the dynamics of the corrosion process of 1018 carbon steel is studied by electrochemical impedance spectroscopy (EIS) and electrochemical noise (EN) in an acid medium. EN data were used for nonlinear analysis by means of recurrence plots and their corresponding parameters, as well as by delay maps. Important information about the corrosion process of carbon steel corrosion in the presence of these two substances was obtained. AA does not behave as an inhibitor in this system, but the influence of KI is significant in inhibitor efficiency. The dynamics is established mainly by the adsorption of the I − ions on the steel surface and confirmed by the information entropy. The action of AA is to increase the degree of chaos when concentration increases. A relevant aspect determined is the relationship between the nonlinear dynamics of a corrosion process and its intensity.

show abstract

Identifying corrosion of carbon steel buried in iron ore and coal cargoes based on recurrence quantification analysis of electrochemical noise

Cited by 23 publications

References 28 publications

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Advantages of asymmetrical over symmetrical cells for detection of under deposit CO₂ corrosion using electrochemical noise

Nonlinear dynamics of ascorbic acid‐KI interaction on carbon steel corrosion in acid medium

Contact Info

Product

Resources

About

Identifying corrosion of carbon steel buried in iron ore and coal cargoes based on recurrence quantification analysis of electrochemical noise

Cited by 23 publications

References 28 publications

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Advantages of asymmetrical over symmetrical cells for detection of under deposit CO2 corrosion using electrochemical noise

Nonlinear dynamics of ascorbic acid‐KI interaction on carbon steel corrosion in acid medium

Contact Info

Product

Resources

About

Advantages of asymmetrical over symmetrical cells for detection of under deposit CO₂ corrosion using electrochemical noise