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J Chin Soc Corr Pro  2009, Vol. 29 Issue (1): 9-14    DOI:
技术报告 Current Issue | Archive | Adv Search |
TREND REMOVAL IN THE ANALYSIS OF ELECTROCHEMICAL NOISE BY POLYNOMIAL FITTING WITH WINDOW TECHNIQUE
HUANG Jiayi;QIU Yubing;GUO Xingpeng
Key Laboratory of Materials Chemistry and Service Failure;Department of Chemistry and Chemical Engineering;Huazhong University of Science and Technology;Wuhan 430074
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Abstract  

Removing DC drift from the original electrochemical noise (EN) signal was required for recovering the EN data before calculating standard deviations and power spectral densities. In this article, a real-time method, which brings up polynomial fitting using window technique, has been applied to remove the trend of the experimental data for Q235 carbon steels in 0.5 mol/L NaCl solution, and the validity of trend removal was discussed with the energy distribution plots (EDPs). The results showed that the order and window size can corporately influence the removing results and the characteristic of the EDPs. In order to attenuate the low-frequency components without damage the useful information, the lower polynomial order (no bigger than 3)and appropriate size (between 1024 and 4096), which was determined by characteristics of EN fluctuations, should be selected.

 

Key words:  electrochemical noise (EN)      window technique      polynomial fitting      wavelet transform      trend     
Received:  20 April 2007     
ZTFLH: 

TG174

 
Corresponding Authors:  Jiayi QIU      E-mail:  Qiuyubin@mail.hust.edu.cn

Cite this article: 

HUANG Jiayi QIU Yubing GUO Xingpeng. TREND REMOVAL IN THE ANALYSIS OF ELECTROCHEMICAL NOISE BY POLYNOMIAL FITTING WITH WINDOW TECHNIQUE. J Chin Soc Corr Pro, 2009, 29(1): 9-14.

URL: 

https://www.jcscp.org/EN/     OR     https://www.jcscp.org/EN/Y2009/V29/I1/9

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