Principal component analysis vs. independent component analysis for damage detection
Visualitza/Obre
Tipus de documentText en actes de congrés
Data publicació2013
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In previous works, the authors showed advantages and drawbacks of the use of
PCA and ICA by separately. In this paper, a comparison of results in the application
of these methodologies is presented. Both of them exploit the advantage of using a
piezoelectric active system in different phases. An initial baseline model for the
undamaged structure is built applying each technique to the data collected by several
experiments. The current structure (damaged or not) is subjected to the same
experiments and the collected data are projected into the models. In order to determine whether damage exists or not in the structure, the projections into the first and second components using PCA and ICA are depicted graphically. A comparison between these plots is performed analyzing differences and similarities, advantages and
drawbacks. To validate the approach, the methodology is applied in two sections of an
aircraft wing skeleton powered with several PZTs transducers.
CitacióTibaduiza, D.A. [et al.]. Principal component analysis vs. independent component analysis for damage detection. A: European Workshop on Structural Health Monitoring. "Proceedings 6th European Workshop on Structural Health Monitoring & 1st European Conference On Prognostics and Health Management, July 3-6, 2012, Dresden, Germany". Dresden: 2013.
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fr1d4.pdf | 321,1Kb | Visualitza/Obre |