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Q-statistic and T2-statistic PCA-based measures for damage assessment in structures

Autor
Mujica, L.E.; Rodellar, J.; Fernandez, A.; Güemes Gordo, Jesús Alfredo
Tipus d'activitat
Article en revista
Revista
Structural health monitoring: an international journal
Data de publicació
2010-11-23
Volum
10
Número
5
Pàgina inicial
539
Pàgina final
553
DOI
https://doi.org/10.1177/1475921710388972 Obrir en finestra nova
Projecte finançador
ESTRUCTURAS AERONÁUTICAS INTELIGENTES: Desarrollo y validación de técnicas de detección de defectos basadas en reconocimiento de patrones
URL
http://shm.sagepub.com/content/10/5/539 Obrir en finestra nova
Resum
This article explores the use of principal component analysis (PCA) and T2 and Q-statistic measures to detect and distinguish damages in structures. For this study, two structures are used for experimental assessment: a steel sheet and a turbine blade of an aircraft. The analysis has been performed in two ways: (i) by exciting the structure with low-frequency vibrations using a shaker and using several piezoelectric (PZT) sensors attached on the surface, and (ii) by exciting at high-frequency vi...
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