The Use of a Time-Frequency Transform for the Analysis of Electrochemical Noise for Corrosion Estimation

J. H. Arellano-Pérez, R. F. Escobar-Jiménez, O. J. Ramos-Negrón, M. A. Lucio-García, J. F. Gómez-Aguilar, J. Uruchurtu-Chavarín and Chandan Pandey

Mathematical Problems in Engineering, 2022, vol. 2022, 1-11

Abstract: This work shows the results of evaluating the corrosion type and rate (CR) in the 6061-T6 aluminum alloy exposed to ethanol-gasoline blends (E0, E10, E20, E30, E40, E60, E80, and E100) by analyzing electrochemical noise (EN) signals using the Shannon energy (SSE) and the synchrosqueezing transform (SST). The obtained results are compared against the obtained with the statistical method (Location Index, LI). The results obtained with the SSE method showed that the corrosion type in the 6061-T6 aluminum alloy is classified better than using the statistical method. Moreover, the SST results showed that the corrosion rate increased with the increment of the ethanol content in the ethanol-gasoline blends from values in the order of 10−4 to 10−3 mm/year.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:4333607

DOI: 10.1155/2022/4333607

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