CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS

J Chin Soc Corr Pro

2005, Vol. 25

Issue (1): 7-10 DOI:

Research Report

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CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS

Fahe Cao;Zhao Zhang;Yanyan Shi;Jianqing Zhang;Chunan Cao

浙江大学化学系电化学研究室

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Abstract Electrochemical noise analysis software,ENAN,was developed by butterfly fast Fourier transform al-gorithm using Vision C++ language.The software ENAN could analyze the electrochemical noise data that were obtained by electrochemical workstations of the laboratories.At the same time,the software also calculated the parameter of power density spectroscopy (SPD) by linear least square method and the criterion SE and SG of pitting corrosion.The software was easy to operate and had a good reproducibility of the analysis result.The value of parameter SEand SG could characterize the severity and trend of pitting of corroding material,so we could use the ENAN software to estimate the pitting corrosion quickly and rightly

Key words: electrochemical noise pitting corrosion frequency spectrum criterion Vision C++

Received: 11 August 2003

ZTFLH:

O646

Corresponding Authors: Fahe Cao

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Fahe Cao; Zhao Zhang; Yanyan Shi; Jianqing Zhang; Chunan Cao. CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS. J Chin Soc Corr Pro, 2005, 25(1): 7-10 .

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2005/V25/I1/7

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