电化学噪声频谱的VisonC++实现

中国腐蚀与防护学报, 2005, 25(1): 7-10.

电化学噪声频谱的VisonC++实现

浙江大学化学系电化学研究室

关键词：电化学噪声 , pitting corrosion , frequency spectrum , criterion , Vision C++ , null

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

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

Keywords： electrochemical noise , 孔蚀 , 频谱 , 判据 , Vision , C++

利用面向对象的Vision C++语言,采用蝶形傅立叶算法开发了电化学噪声分析软件ENAN.软件ENAN可以分析实验室现有电化学工作站(CHI 660A,IM6E,powerlab)所采集的电化学噪声,得到功率密度谱(SPD),线性最小二乘法,计算出相应的特征参数及由此计算出孔蚀判据SE和SG实验验证:软件操作简单,结果重复性良好,参数SE和SG能对应于孔蚀的强度和趋势,从而可以用该软件准确快速判断孔蚀的发生.

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

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