Correlated pitting stages of 304 stainless steel with recurrence quantification analysis of electrochemical noise

2018 ◽  
Vol 70 (2) ◽  
pp. 197-205 ◽  
Author(s):  
Zhen Zhang ◽  
Xinqiang Wu
Keyword(s):  
Stainless Steel ◽  
Electrochemical Noise ◽  
Recurrence Quantification Analysis ◽  
304 Stainless Steel ◽  
Recurrence Quantification ◽  
Quantification Analysis

RECURRENCE QUANTIFICATION ANALYSIS OF ELECTROCHEMICAL NOISE DATA DURING PIT DEVELOPMENT

2007 ◽  
Vol 17 (10) ◽  
pp. 3725-3728 ◽  
Author(s):  
LUIS SANTOS MONTALBÁN ◽  
PÄIVI HENTTU ◽  
ROBERT PICHÉ
Keyword(s):  
Time Series ◽  
Pitting Corrosion ◽  
Electrochemical Noise ◽  
Recurrence Quantification Analysis ◽  
Corrosion Process ◽  
Current Time ◽  
Recurrence Quantification ◽  
Noise Data ◽  
Quantification Analysis ◽  
Aisi 316

Electrochemical noise (EN) data is commonly used to monitor corrosion of metals in various environments. In this work we use recurrence quantification analysis (RQA) to study EN time series of stainless steel AISI 316 samples immersed in a mildly corrosive electrolyte. It is found that RQA of current and potential time series reveal different information: current time series provides detailed information on the kinetics of the pitting corrosion process, while the potential time series identifies the transitions from one thermodynamic state to another in the pitting corrosion process.

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