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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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Detalles Bibliográficos
Autores principales:	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
Formato:	Artículo
Lenguaje:	inglés
Publicado:	Molecular diversity preservation international 2025
Materias:	TA Ingeniería General y Civil
Acceso en línea:	http://eprints.uanl.mx/30102/7/30102.pdf

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