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Damage detection using principal component analysis based on wavelet ridges

Autor
Gharibnezhad, F.; Mujica, L.E.; Rodellar, J.; Fritzen, C.P
Tipus d'activitat
Article en revista
Revista
Key engineering materials
Data de publicació
2013-07-08
Volum
569-570
Pàgina inicial
916
Pàgina final
923
DOI
https://doi.org/10.4028/www.scientific.net/KEM.569-570.916 Obrir en finestra nova
URL
http://www.scientific.net/KEM.569-570.916 Obrir en finestra nova
Resum
Principal Component Analysis (PCA) and Wavelet Transform (WT) are two well-known signal processing tools that are widely used indifferent fields. PCA plays a vital role in statistical analysis as a dimensional reduction tool. Besides, WT has proven its ability to overcome many of the limitation of the others among various time-frequency analyzers. The present work attempts to use the properties and advantages of both methodologies together in damage detection. To achieve this aim, PCA is applied...
Paraules clau
Damage Detection, Principal Component Analysis (pca), Wavelet, Wavelet Ridge
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions

Participants