Electrochemical noise analysis to identify the corrosion type using the stockwell transform and the shannon energy: Part II
| Autor: | M. A. Lucio-Garcia, O.J. Ramos-Negrón, Jorge Uruchurtu-Chavarín, José Francisco Gómez-Aguilar, Ricardo Fabricio Escobar-Jiménez, J.H. Arellano-Pérez |
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| Rok vydání: | 2019 |
| Předmět: |
Chemistry
General Chemical Engineering Fast Fourier transform chemistry.chemical_element Wavelet transform Spectral density 02 engineering and technology Type (model theory) 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Analytical Chemistry Corrosion Computational physics Electrochemical noise Aluminium Electrochemistry 0210 nano-technology Energy (signal processing) |
| Zdroj: | Journal of Electroanalytical Chemistry. 855:113597 |
| ISSN: | 1572-6657 |
| DOI: | 10.1016/j.jelechem.2019.113597 |
| Popis: | In a previous manuscript, the Stockwell transform (ST) and Shannon energy (SSE) methods were presented as a new proposal to identify the corrosion type at room temperature. The present manuscript aim is demonstrating the effectiveness of the ST and SSE methods for evaluating the corrosion type and rate through Electrochemical Noise technique at different temperatures. The study is carried out using 6061-T6 aluminum exposed to 3.5 % N a C l solution at two different temperatures 22 o C and 75 o C . The ST performance is evaluated and compared with other methods as the statistical method (SM), the Power Spectral Density (PSD) (computed by the Fast Fourier Transform (FFT) and the Maximum Entropy Method (MEM)), and the Wavelet Transform (WT). The experimental results showed that the ST is the most robust of the methods analyzed. The main contribution of the manuscript is to demonstrate that the ST and Shannon Energy methods are robust for the corrosion evaluation no matter the medium temperature. |
| Databáze: | OpenAIRE |
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