Multifractal modelling of electrochemical noise in corrosion of carbon steel

Electrochemical noise analysis of corroding surfaces provides useful information regarding the temporal changes in material degradation, corrosion mechanisms and condition monitoring. In this study, we analyzed the electrochemical potential and current noise originating from the corrosion of carbon steel (ASTM A106) in distilled water using multifractal analysis. The empirical Legendre spectrum and large deviation singularity spectrum are determined for the electrochemical noise at different stages of corrosion. A wavelet-based multifractal model is introduced to describe the multiscaling behaviour.

Research highlights
► Multiscaling analysis of electrochemical noise of corrosion in carbon steel.
► Characterization of local regularity of EN signals using multifractal spectra.
► Multifractal wavelet model for simulating EN signals using random cascade process.