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Smart Corrosion Monitoring in AA2055 Using Hidden Markov Models and Electrochemical Noise Signal Processing

This work explores the application of Hidden Markov Models (HMMs) for the classification and reconstruction of corrosion mechanisms in the aerospace-grade aluminum alloy AA2055 from the signals obtained by electrochemical noise (EN) analysis. Using the PELT algorithm to segment the signal based on r...

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Bibliographic Details
Main Authors:	Martínez Ramos, Cynthia, Gaona Tiburcio, Citlalli, Estupiñan López, Francisco Humberto, Cabral Miramontes, José Ángel, Maldonado Bandala, Erick, Almeraya Calderón, Facundo, Nieves Mendoza, Demetrio, Baltazar Zamora, Miguel Ángel, Landa Ruiz, Laura, Galván Martínez, Ricardo
Format:	Article
Language:	English
Published:	Molecular diversity preservation international 2025
Subjects:	TA Ingeniería General y Civil
Online Access:	http://eprints.uanl.mx/30102/7/30102.pdf

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