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

Autor
Mujica, L.E.; Rodellar, J.; Vehí, J.; Worden, K.; Staszewski, W.
Tipus d'activitat
Article en revista
Revista
Proceedings of SPIE, the International Society for Optical Engineering
Data de publicació
2009-04
Volum
7286
Pàgina inicial
72860
Pàgina final
72872
DOI
https://doi.org/10.1117/12.815488 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/91039 Obrir en finestra nova
URL
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=821662 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
Damage Identification Under Uncertainties, Principal Component Analysis, Q-statistic, T2-statistic
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions

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