Abstract

This article intends to present a time-frequency representations adapted to the characterization of steels damaged by the environment. These techniques are applied for analyzing experimental acoustic signal backscattered by corroded steel immersed in water. These signals are processed using a spectrogram analysis, Pseudo Wigner-Ville Distribution PWV and continuous wavelet, whose interest is to provide a signal representation in time-frequency. The goal here is whether each pattern of representation is due to corrosion or default in the plate. The use of time-frequency representations for characterizing steels damaged by the environment proves interesting because of their ability to localize the energy of the signals in a two-dimensional plane. However, bearing in mind that these representations should check drastic properties about the studied signal, choose a representation adapted case by case. The results obtained highlight the advantage of using time-frequency representations for the study of the acoustic wave’s propagation in corroded steels.

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