Detection of under deposit corrosion in a CO2 environment by using electrochemical noise and recurrence quantification analysis

被引：29

作者：

Hou, Y. ^{[1
]}

Aldrich, C. ^{[1
]}

Lepkova, K. ^{[1
]}

Kinsella, B. ^{[1
]}

机构：

[1] Curtin Univ, Curtin Corros Ctr, Western Australian Sch Mines, GPO Box U1987, Bentley, WA 6102, Australia

来源：

ELECTROCHIMICA ACTA | 2018年 / 274卷

关键词：

Carbon steel; Under deposit corrosion; Electrochemical noise; Recurrence quantification analysis; Corrosion monitoring; Random forests; CARBON-STEEL; LOCALIZED CORROSION; PLOTS; INHIBITION; DYNAMICS; BEHAVIOR;

D O I：

10.1016/j.electacta.2018.04.037

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

In this study, the corrosion of carbon steel immersed in CO2 saturated aqueous solutions, in the presence and absence of sand deposits, were investigated by electrochemical noise measurement and recurrence quantification analysis. Uniform corrosion occurred at samples without sand deposit, while localized corrosion took place at the sand-covered steel samples. These two different corrosion types can be accurately predicted by random forest and principal component models based on recurrence quantification analysis of either electrochemical potential or current noise data, regardless of threshold values. The study provides a potential automated online corrosion monitoring scheme to ensure the integrity of pipelines. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：160 / 169

页数：10

共 35 条

[1] Assessment of the dynamics of corrosion fatigue crack initiation applying recurrence plots to the analysis of electrochemical noise data [J].