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

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...

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Bibliographic Details
Main Authors: Diana Marcela Martinez Ricardo, German Efrain Castañeda Jimenez, Janito Vaqueiro Ferreira, Euripedes Guilherme de Oliveira Nobrega, Eduardo Rodrigues de Lima, Larissa M. de Almeida
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
guyed tower
finite element
wind loading
machine learning
autoencoder
Online Access:https://www.mdpi.com/1424-8220/22/1/213

Internet

https://www.mdpi.com/1424-8220/22/1/213

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