Filtering of Electrochemical Transients by Empirical Mode Decomposition Method
Filtering of Electrochemical Transients by Empirical Mode Decomposition Method
复制标题
作者：
Z. Yong
提出了一种基于经验模态分解（EMD）的静电量瞬态滤波方法。通过不同的仿真系统对EMD滤波的效果进行了评价。为了提高EMD滤波的适用性，降低滤波的主观性，对仿真噪声的讨论主要集中在白噪声、高频噪声、50hz市电噪声以及上述噪声的混合。为了说明EMD滤波对CIS拟合性的重要性，利用电化学阻抗谱（EIS）和静电诱导谱（CIS）同时研究了一个多时间常数腐蚀体系。本文的研究结果表明，EMD降噪是适用于cit的。该方法具有良好的去噪性能，是cit分析的一种替代去噪方法。具有EMD滤波的CIS与EIS具有良好的一致性。对于EMD的实际应用，去除内禀模态函数（IMF）的前两项和第四项IMF中的50 Hz元素通常可以满足CIS分析。
A filtering method based on empirical mode decomposition (EMD) for coulostatically-induced transients (CITs) was presented. The effect of EMD filtering was evaluated from different simulation systems. To boost the applicable solution for EMD filtering and reduce the subjectivity of filtering, discussions of the simulating noises were mainly focused on white noise, high frequency noise, 50 Hz noise from commercial power and blend of above-mentioned noises. To illustrate the most importance of EMD filtering for the goodness of fit of CIS, one real corrosion system involving multi-time constant was simultaneously investigated by electrochemical impedance spectrum (EIS) and coulostatically-induced spectrum (CIS). The results reported here demonstrate that EMD de-noising is applicable for CITs. The proposed method shows good performance of de-noising and is an alternative de-noising method for the CITs analysis. CIS with EMD filtering are in good agreement with EIS. For practical application of EMD, removal of the first two items of intrinsic mode function (IMF) and 50 Hz element in forth IMF will be generally satisfactory for CIS analysis.