Article (Scientific journals)
Structural integral monitoring by vibration measurements
Yan, Ai-Min; De Boe, Pascal; Golinval, Jean-Claude
2003In FM2003 - Structural Integrity and Materials Aging, p. 363-370
Peer reviewed
 

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Keywords :
Damage diagnosis; Stochastic Subspace Identification; Modal Analysis; Kalman model; Principal Component Analysis
Abstract :
[en] This paper presents a comparative study on several approaches of structural damage diagnosis based on vibration measurements. Stochastic subspace identification method is used to identify modal parameters and to generate a Kalman prediction model, which are taken as damage-sensitive features for structural damage detection. A statistical process control technique based on principal component analysis (PCA) is also presented. An improvement and enhancement of PCA are proposed. It is assumed that without damage, structural responses should remain approximately in a hyperplane defined by the principal directions of data. Damage localization is explored with these methods. As only the measured output signals are needed, the methods are convenient for an on-line monitoring. The efficiency and limitation of the proposed methods are illustrated by a practical application.
Disciplines :
Mechanical engineering
Aerospace & aeronautics engineering
Author, co-author :
Yan, Ai-Min;  Université de Liège - ULiège > Aérospatiale et Mécanique > LTAS-Vibrations et Identification des Structures
De Boe, Pascal;  Université de Liège - ULiège > Aérospatiale et Mécanique > LTAS-Vibrations et Identification des Structures
Golinval, Jean-Claude  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Language :
English
Title :
Structural integral monitoring by vibration measurements
Publication date :
2003
Journal title :
FM2003 - Structural Integrity and Materials Aging
Pages :
363-370
Peer reviewed :
Peer reviewed
Available on ORBi :
since 27 November 2009

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