电化学噪音数据小波分析法研究

A Study for the Data Analysis of Electrochemical Noise with Wavelet Analysis

电化学动力系统演化过程中 ,其状态参量 (如电极电位、电解池电流等 )的随机波动现象被称为“电化学噪音”(ECN) .小波变换是近年来数学与信号处理领域获得突破性进展的一种数据处理方法 .本文首次用连续小波变换的方法对混凝土中钢筋腐蚀产生的“电化学噪音”信号进行初步研究 ,通过将原始的时域信号变换至时_频相平面来观察其结构特征 ,并揭示出电化学腐蚀过程的混沌动力学行为 .

In the process of electrochemical dynamics system,the phenomenon of the random fluctuations of electrochemical parameters(electrode potential,cell current,etc.)is called “Electrochemical Noise”(ECN).Wavelets analysis is one new data analysis technique which has undergone a breakthrough in the area of mathematics and singnal processing in recent years.In this paper,the technique of continuous wavelet transform has been employed to investigate electrochemical noise data,and the chaotic nature of corrosion process has been manifested.