Analysis of electrochemical noise data with phase space methods

2006 ◽  
Vol 19 (14) ◽  
pp. 1402-1409 ◽  
Author(s):  
C. Aldrich ◽  
B.C. Qi ◽  
P.J. Botha
CORROSION ◽  
2000 ◽  
Vol 56 (9) ◽  
pp. 928-934
Author(s):  
G. Miramontes de León ◽  
D. C. Farden ◽  
D. E. Tallman

Abstract A new approach for the measurement of noise resistance based on the transient behavior of pitting corrosion is presented. Potential noise and current transients have been recognized as a characteristic behavior of pitting corrosion. This new approach uses the transient information present during corrosion as a way to estimate the noise resistance of coated metals directly. Computer simulation and analytical results are presented, indicating that the new technique can be applied to the problem of noise resistance estimation. This new approach was applied to experimental electrochemical noise data obtained with commercial electrochemical impedance spectroscopy (EIS)/electrochemcial noise measurement (ENM) equipment.


2017 ◽  
Vol 96 (3) ◽  
Author(s):  
Asier Piñeiro Orioli ◽  
Arghavan Safavi-Naini ◽  
Michael L. Wall ◽  
Ana Maria Rey

2004 ◽  
Vol 04 (03) ◽  
pp. R39-R55 ◽  
Author(s):  
G. MONTESPERELLI ◽  
G. GUSMANO

This paper gives an overview of the use of Electrochemical Noise (EN) for corrosion studying and monitoring. Since the quality and reliability of noise data are affected by a number of acquisition parameters, such as sampling interval, sampling duration, D.C. trend and instrumental noise, some experimental and practical aspects were discussed. The use of statistical parameters such as standard deviation, Pit Index and/or Localization Index and Noise Resistance to analyze noise data of corroding systems were examined. Many experimental applications of Electrochemical Noise Measurements on different metals and alloys were given. EN data have been compared with traditional electrochemical techniques. EN allowed to characterize the corrosion behavior of samples giving in some cases good quantitative estimation. The transposition of current and potential noise acquisition in the frequency domain (by Fast Fourier Transform and/or Maximum Entropy Method), gave further information on corrosion mechanism and in particular permitted to identify the type of corrosion. Finally the use of Discriminant Analysis permitted to deduce the best sampling frequency and sampling duration for EN acquisition, able to discriminate between two different situations.


2017 ◽  
Vol 377 ◽  
pp. 268-310 ◽  
Author(s):  
B.J. Dalton ◽  
J. Jeffers ◽  
S.M. Barnett

2016 ◽  
Vol 370 ◽  
pp. 12-66 ◽  
Author(s):  
B.J. Dalton ◽  
J. Jeffers ◽  
S.M. Barnett

Author(s):  
Hiroshi Fujisaki ◽  
Kei Moritsugu ◽  
Yasuhiro Matsunaga ◽  
Tetsuya Morishita ◽  
Luca Maragliano

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