Extended PCA visualisation of system damage features under environmental and operational variations

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Document typeArticle
Defense date2009-04
Rights accessOpen Access
Abstract
This paper explores the use of Principal Component Analysis (PCA), an extended form of PCA and, the T2- statistic and Q-statistic; distances that detect and distinguish damages in structures under varying operational and environmental conditions. The work involves an experiment in which two piezoelectric transducers are bonded on an aluminium plate. The plate is subjected to several damages and exposed to different levels of temperature. A series of tests have been performed for each condition. The approach is able to determine whether the structure has damage or not, and besides, gives qualitative information about its size, isolating effects of the temperature.
Description
Copyright 2009 Proceedings of SPIE, the International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
CitationMujica, L.E., Rodellar, J., Vehí, J., Worden, K., Staszewski, W. Extended PCA visualisation of system damage features under environmental and operational variations. "Proceedings of SPIE, the International Society for Optical Engineering", Abril 2009, vol. 7286, p. 72860-72872.
ISSN0277-786X
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