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A Deep-Learning-Based Health Indicator Constructor Using Kullback–Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures

This paper proposes a new technique for the construction of a concrete-beam health indicator based on the Kullback–Leibler divergence (KLD) and deep learning. Health indicator (HI) construction is a vital part of remaining useful lifetime (RUL) approaches for monitoring the health of concrete struct...

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Detalles Bibliográficos
Autores principales:	Nguyen, Tuan-Khai, Ahmad, Zahoor, Kim, Jong-Myon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146863/ https://www.ncbi.nlm.nih.gov/pubmed/35632097 http://dx.doi.org/10.3390/s22103687

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