Journal of Electrochemical Science and Technology

The Korean Electrochemical Society (한국전기화학회)
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Investigation on Trend Removal in Time Domain Analysis of Electrochemical Noise Data Using Polynomial Fitting and Moving Average Removal Methods

  • Havashinejadian, E. (Abadan Faculty of Petroleum Engineering, Petroleum University of Technology) ;
  • Danaee, I. (Abadan Faculty of Petroleum Engineering, Petroleum University of Technology) ;
  • Eskandari, H. (Abadan Faculty of Petroleum Engineering, Petroleum University of Technology) ;
  • Nikmanesh, S. (Abadan Faculty of Petroleum Engineering, Petroleum University of Technology)
  • Received : 2017.01.12
  • Accepted : 2017.03.02
  • Published : 2017.06.30
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Abstract

Electrochemical noise signals in many cases exhibit a DC drift that should be removed prior to further data analysis. Polynomial fitting and moving average removal method have been used to remove trends of electrochemical noise (EN) in time domain. The corrosion inhibition of synthesized schiff base N,N'-bis(3,5-dihydroxyacetophenone)-2,2-dimethylpropandiimine on API-5L-X70 steel in hydrochloric acid solutions were used to study the effects of drifts removal methods on noise resistance calculation. Also, electrochemical impedance spectroscopy (EIS) was used to study the corrosion inhibition property of the inhibitor. The results showed that for the calculation of $R_n$, both methods were effective in trend removal and the polynomial with m=4 and MAR with p=40 were in agreement.

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