Two valuable results of wavelet transform are energy distribution (ED) plot and standard deviation of partial signal (SDPS) plot. In this work, after brief review of theoretical basis of wavelet transform, the ED and SDPS plots are compared using both calculated and experimental signals. The experimental signals are obtained by recording electrochemical current noise of two Al alloys, AA2024 and AA5052. Both ED and SDPS plots can detect the predominant transients of each signal by the position of the maximum peak between d1 and d6 crystals and thereby may categorize several corroding systems according to the pit size. The slope value of the SDPS plot in the region after the maximum peak can be a measure of the frequentness of the predominant transients. Based on these slope values it might be possible to classify several corroding systems according to the pit density. The SDPS plot seems as an alternative tool to overcome the limitations of the ED plot in the corrosion monitoring applications. Employment of the ED plot along with the SDPS plot is recommended to provide a further insight into the electrochemical behavior of a corroding system. (C) 2011 Elsevier Ltd. All rights reserved.