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Structural damage continuous monitoring by using a data driven approach based on principal component analysis and cross-correlation analysis

Camacho, J.; Ruiz, M.; Villamizar, R.; Mujica, L.E.; Moreno, G.; Quiroga, J.
Type of activity
Presentation of work at congresses
Name of edition
12th International Conference on Damage Assessment of Structures
Date of publication
Presentation's date
Book of congress proceedings
DAMAS 2017: 12th International Conference on Damage Assessment of Structures : Kitakyushu, Japó: July 10-12, 2017: proceedings book
First page
Last page
Project funding
Development and validation of failure detection and design of fault-tolerant control strategies with application in offshore wind energy plants
Continuous monitoring for damage detection in structural assessment comprises implementation of low cost equipment and efficient algorithms. This work describes the stages involved in the design of a methodology with high feasibility to be used in continuous damage assessment. Specifically, an algorithm based on a data-driven approach by using principal component analysis and pre-processing acquired signals by means of cross-correlation functions, is discussed. A carbon steel pipe section and a ...
Group of research
CoDAlab - Control, Dynamics and Applications


  • Camacho Navarro, Jhonatan  (author and speaker )
  • Ruiz Ordoñez, Magda Liliana  (author and speaker )
  • Villamizar Mejía, Rodolfo  (author and speaker )
  • Mujica Delgado, Luis Eduardo  (author and speaker )
  • Moreno Beltran, Gustavo Adolfo  (author and speaker )
  • Quiroga Méndez, Jabid Eduardo  (author and speaker )