Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis
The corrosion of carbon steel in aqueous media resulting in uniform corrosion, pitting corrosion and passivation was investigated on a laboratory scale. Recurrence quantification analysis was applied to short segments of electrochemical current noise measurements. These segments were converted to re...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/12725 |
| _version_ | 1848748156841361408 |
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| author | Hou, Y. Aldrich, Chris Lepkova, Katerina Machuca, Luis Kinsella, B. |
| author_facet | Hou, Y. Aldrich, Chris Lepkova, Katerina Machuca, Luis Kinsella, B. |
| author_sort | Hou, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The corrosion of carbon steel in aqueous media resulting in uniform corrosion, pitting corrosion and passivation was investigated on a laboratory scale. Recurrence quantification analysis was applied to short segments of electrochemical current noise measurements. These segments were converted to recurrence variables, which could be used as reliable predictors in a multilayer perceptron neural network model to identify the type of corrosion. In addition, an automated corrosion monitoring scheme is proposed, based on the principal component scores of the recurrence variables. This approach used the uniform corrosion measurements as reference data and could differentiate between uniform and non-uniform corrosion. |
| first_indexed | 2025-11-14T07:00:34Z |
| format | Journal Article |
| id | curtin-20.500.11937-12725 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:00:34Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-127252018-07-12T04:58:30Z Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis Hou, Y. Aldrich, Chris Lepkova, Katerina Machuca, Luis Kinsella, B. The corrosion of carbon steel in aqueous media resulting in uniform corrosion, pitting corrosion and passivation was investigated on a laboratory scale. Recurrence quantification analysis was applied to short segments of electrochemical current noise measurements. These segments were converted to recurrence variables, which could be used as reliable predictors in a multilayer perceptron neural network model to identify the type of corrosion. In addition, an automated corrosion monitoring scheme is proposed, based on the principal component scores of the recurrence variables. This approach used the uniform corrosion measurements as reference data and could differentiate between uniform and non-uniform corrosion. 2016 Journal Article http://hdl.handle.net/20.500.11937/12725 10.1016/j.corsci.2016.07.009 Elsevier fulltext |
| spellingShingle | Hou, Y. Aldrich, Chris Lepkova, Katerina Machuca, Luis Kinsella, B. Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| title | Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| title_full | Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| title_fullStr | Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| title_full_unstemmed | Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| title_short | Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| title_sort | monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis |
| url | http://hdl.handle.net/20.500.11937/12725 |