Evaluation of microbially influenced corrosion with electrochemical noise analysis and signal processing

2007 ◽  
Vol 52 (19) ◽  
pp. 5795-5807 ◽  
Author(s):  
Nikita Zaveri ◽  
Rongtao Sun ◽  
Nephi Zufelt ◽  
Anhong Zhou ◽  
YangQuan Chen
Keyword(s):  
Signal Processing ◽  
Electrochemical Noise ◽  
Noise Analysis ◽  
Microbially Influenced Corrosion

scholarly journals The reassigned pseudo Wigner–Ville transform in electrochemical noise analysis

2019 ◽  
Vol 21 (44) ◽  
pp. 24361-24372 ◽  
Author(s):  
Ivana Jevremovic ◽  
Andreas Erbe
Keyword(s):  
Signal Processing ◽  
Time Evolution ◽  
Electrochemical Noise ◽  
Noise Analysis ◽  
Time Frequency ◽  
Noise Data ◽  
Frequency Components

Several different time–frequency transforms from signal processing were used to analyze electrochemical noise data to determine frequency components contained within the noise record and their time evolution.

OPTIMAL WAVELET CHOICE IN ELECTROCHEMICAL EXPERIMENTS

2006 ◽  
Vol 06 (02) ◽  
pp. L215-L225 ◽  
Author(s):  
K. DAROWICKI ◽  
A. ZIELIŃSKI
Keyword(s):  
Signal Processing ◽  
Wavelet Analysis ◽  
Digital Signal Processing ◽  
Electrochemical Noise ◽  
Noise Analysis ◽  
Digital Signal ◽  
Comparison Of Results ◽  
Processing Techniques ◽  
Signal Processing Techniques

In the recent years we witness great interest in merging electrochemical experiments with modern digital signal processing techniques. Wavelet analysis seems to be one of the most promising approaches. In the case of wavelets there are various families of analyzing functions which can be selected to suit given experiment demands. In the paper the authors present comparison of results of utilization of different wavelets in electrochemical noise analysis.

THE USE OF ELECTROCHEMICAL NOISE ANALYSIS ON CORRODING SYSTEMS

2004 ◽  
Vol 04 (03) ◽  
pp. R39-R55 ◽  
Author(s):  
G. MONTESPERELLI ◽  
G. GUSMANO
Keyword(s):  
Electrochemical Noise ◽  
Quantitative Estimation ◽  
Noise Analysis ◽  
Electrochemical Techniques ◽  
Sampling Interval ◽  
Entropy Method ◽  
Corrosion Mechanism ◽  
Statistical Parameters ◽  
Noise Data ◽  
Sampling Duration

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.

Electrochemical noise analysis of a PEM fuel cell stack under long-time operation: noise signature in the frequency domain

2020 ◽  
Vol 24 (11-12) ◽  
pp. 3059-3071 ◽  
Author(s):  
S. Martemianov ◽  
A. Thomas ◽  
N. Adiutantov ◽  
E. Denisov ◽  
Yu Evdokimov ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Frequency Domain ◽  
Electrochemical Noise ◽  
Noise Analysis ◽  
Pem Fuel Cell ◽  
Fuel Cell Stack ◽  
Time Operation ◽  
Long Time ◽  
Noise Signature
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