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    Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis

    241919.pdf (1.092Mb)
    Access Status
    Open access
    Authors
    Hou, Y.
    Aldrich, Chris
    Lepkova, Katerina
    Machuca, Luis
    Kinsella, B.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Hou, Y. and Aldrich, C. and Lepkova, K. and Machuca, L. and Kinsella, B. 2016. Monitoring of carbon steel corrosion by use of electrochemical noise and recurrence quantification analysis. Corrosion Science. 112: pp. 63-72.
    Source Title
    Corrosion Science
    DOI
    10.1016/j.corsci.2016.07.009
    ISSN
    0010-938X
    School
    Dept of Mining Eng & Metallurgical Eng
    URI
    http://hdl.handle.net/20.500.11937/12725
    Collection
    • Curtin Research Publications
    Abstract

    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.

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