arrow
Return

Multiway principal component analysis contributions for structural damage localization

delete2017-11-14
delete16
delete
OA
AI
M
Magda Ruiz Ordóñez *
L
Luis Eduardo Mújica Delgado
J
Julián Sierra-Pérez
F
Francesc Pozo
J
José Rodellar
DOI:10.1177/1475921717737971delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
In this article, a novel methodology for damage localization is introduced. The approach is based on a multiactuator system. This means that the system itself has the ability of both exciting the specimen and measuring its response at different points in a pitch-catch mode. Once one of its actuators excites the specimen, the damage affects the normal travel of the guided wave, and this change is mainly detected by sensors in the direct route to the excitation point. In previous works by the authors, it can be observed that the progression using data-driven statistical models (multivariable analysis based on principal component analysis) of all recorded signals to determine whether the damage is present. However, the main contribution of this article is the demonstration of the possibility of localizing damages by analyzing the contribution of each sensor to this index which have detected it (T-2-statistic and Q-statistic). The proposed methodology has been applied and validated on an aircraft turbine blade. The results indicate that the presented methodology is able to accurately locate damages, analyzing the record signals from all actuation phases and giving a unique and reliable region.
Keywords:
Principal component analysis
contribution analysis
damage localization
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

S
Structural Health Monitoring-An International Journal
IF:
5.7
Papers:
2.3K
Citations:
1.1W

Organization

Universidad Pontificia Bolivariana cover
Universidad Pontificia Bolivariana
Scholars:
1.3K
Papers: 753
Citations: 654
U
universitat politecnica de catalunya
Scholars:
1.9W
Papers: 1.6W
Citations: 17