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Extraction methods based on PCA and mutual information to improve damage detection problem in offshore wind turbines

Autor
Zugasti, E.; Mujica, L.E.; Anduaga, J.; Martinez, F.
Tipus d'activitat
Article en revista
Revista
Key engineering materials
Data de publicació
2013-07-08
Volum
569-570
Pàgina inicial
620
Pàgina final
627
DOI
https://doi.org/10.4028/www.scientific.net/KEM.569-570.620 Obrir en finestra nova
URL
http://www.scientific.net/KEM.569-570.620 Obrir en finestra nova
Resum
Damage Detection problem in Structural Health Monitoring (SHM) is widely studied by many researchers, therefore lots of damage detection algorithms can be found in the literature. Feature Selection / Extraction methods are essential in the accuracy of these algorithms, they provide the suitable data to be used. The main goal of this work is to improve the input data to be the most representative for the damage detection problem. This is done using different Feature Selection / Extraction methods...
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions

Participants