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Structural damage diagnosis under changing environmental conditions
Yan, A. M.; Kerschen, Gaëtan; De Boe, Pascal et al.
2004In 7th International Conference on Motion and Vibration Control, Saint Louis, 2004
 

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Keywords :
structural health monitoring; varying environmental; principal component analysis; Kalman model
Abstract :
[en] A method is proposed to perform structural health monitoring under varying environmental and operational conditions. The method is based on principal component analysis (PCA) applied to a data set containing vibration characteristics identified during the monitoring of the structure. The advantage of the method is that it does not require the measurement of environmental parameters that are taken into account as embedded variables. As the influence of environmental effects may be effectively eliminated, the residual error of the PCA prediction model remains small if the structure is healthy, and increases significantly when structural damage occurs. Novelty analysis on the residual errors provides a statistical indication of damage. The PCA-based damage detection method is illustrated using experimental data. It will also be shown that when the relationship between the vibration characteristics becomes nonlinear, PCA is advantageously replaced by one of its nonlinear generalizations.
Disciplines :
Aerospace & aeronautics engineering
Mechanical engineering
Physics
Mathematics
Author, co-author :
Yan, A. M.
Kerschen, Gaëtan  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
De Boe, Pascal
Golinval, Jean-Claude  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Language :
English
Title :
Structural damage diagnosis under changing environmental conditions
Publication date :
2004
Event name :
7th International Conference on Motion and Vibration Control
Event place :
Saint-Louis, United States
Audience :
International
Main work title :
7th International Conference on Motion and Vibration Control, Saint Louis, 2004
Available on ORBi :
since 13 August 2009

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