A Preliminary Analysis of Correlation between Electrochemical Noise in Digital Signals and Images in Corrosion Studies

The phenomenon of corrosion in metallic materials such as 316 stainless steel (316SS), produce a degradation which is mainly represented by the lost of metallic properties. One way to study this phenomenon is analyzing microscope digital images of materials exposed to corrosive processes, and the analysis of electrochemical signals using electrochemical noise measurements. The traditional technique used to study the electrochemical noise provides a limited resolution, and it is almost impossible to perform further processing such as spectral analysis by traditional Fourier methods. Therefore, DSP oriented analysis tools were applied to the 1D electrochemical signals and 2-D microscope images looking further features extraction and the results are presented in this paper.