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Damages detection in cylindrical metallic specimens by means of statistical baseline models and updated daily temperature profiles

Villamizar, R.; Mujica, L.E.; Ruiz, M.; Camacho, J.; Moreno, G.
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
In previous works, damage detection of metallic specimens exposed to temperature changes has been achieved by using a statistical baseline model based on Principal Component Analysis (PCA), piezodiagnostics principle and taking into account temperature effect by augmenting the baseline model or by using several baseline models according to the current temperature. In this paper a new approach is presented, where damage detection is based in a new index that combine Q and T2 statistical indices w...
Group of research
CoDAlab - Control, Dynamics and Applications