Recurrence Quantification Analysis of Electrochemical Noise Data during Pit Development

Electrochemical noise data is commonly used to monitor corrosion of metals in various environments. In this work we use recurrence plots to study electrochemical noise time series of stainless steel AISI 316 samples immersed in mildly corrosive electrolyte. It has been found that current and potential time series reveal different information. Recurrence quantification analysis of current time series provides detailed information on the corrosion processes. On the other hand, recurrence quantification analysis of the potential time series identifies the transitions from one state to another in the corrosion process.