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

Author
Mujica, L.E.; Rodellar, J.; Vehí, J.; Worden, K.; Staszewski, W.
Type of activity
Journal article
Journal
Proceedings of SPIE, the International Society for Optical Engineering
Date of publication
2009-04
Volume
7286
First page
72860
Last page
72872
DOI
https://doi.org/10.1117/12.815488 Open in new window
Repository
http://hdl.handle.net/2117/91039 Open in new window
URL
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=821662 Open in new window
Abstract
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. This paper explores the use of Principal Component Analysis (PCA), an extended form of PCA and, the T2- statistic and Q-statistic; distances that d...
Citation
Mujica, 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.
Keywords
Damage Identification under uncertainties, Principal Component Analysis, Q-statistic, T2-statistic
Group of research
CoDAlab - Control, Dynamics and Applications

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