Evaluation of Machine Learning Methods for Monitoring the Health of Guyed Towers

This paper presents the development of a methodology to detect and evaluate faults in cable-stayed towers, which are part of the infrastructure of Brazil’s interconnected electrical system. The proposed method increases system reliability and minimizes the risk of service failure and tower collapse...

Descripción completa

Detalles Bibliográficos
Autores principales: Martinez Ricardo, Diana Marcela, Castañeda Jimenez, German Efrain, Vaqueiro Ferreira, Janito, de Oliveira Nobrega, Euripedes Guilherme, de Lima, Eduardo Rodrigues, de Almeida, Larissa M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749799/
https://www.ncbi.nlm.nih.gov/pubmed/35009756
http://dx.doi.org/10.3390/s22010213

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749799/
https://www.ncbi.nlm.nih.gov/pubmed/35009756
http://dx.doi.org/10.3390/s22010213

Ejemplares similares