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A structural damage detection indicator based on principal component analysis and statistical hypothesis testing

Autor
Mujica, L.E.; Ruiz, M.; Pozo, F.; Rodellar, J.; Güemes Gordo, Jesús Alfredo
Tipus d'activitat
Article en revista
Revista
Smart materials and structures
Data de publicació
2014-02
Volum
23
Número
2
Pàgina inicial
025014-1
Pàgina final
025014-21
DOI
https://doi.org/10.1088/0964-1726/23/2/025014 Obrir en finestra nova
Projecte finançador
Estructuras inteligentes: sistemas de monitorización e identificación de daños con aplicación en aeronáutica y en plantas eólicas
URL
http://iopscience.iop.org/0964-1726/23/2/025014/article Obrir en finestra nova
Resum
A comprehensive statistical analysis is performed for structural health monitoring (SHM). The analysis starts by obtaining the baseline principal component analysis (PCA) model and projections using measurements from the healthy or undamaged structure. PCA is used in this framework as a way to compress and extract information from the sensor-data stored for the structure which summarizes most of the variance in a few (new) variables into the baseline model space. When the structure needs to be i...
Paraules clau
Damage Detection, Pca, Hypothesis Testing, Structural Health Monitoring
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions

Participants