Reference : Damage Detection Using Blind Source Separation Techniques
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Mechanical engineering
Damage Detection Using Blind Source Separation Techniques
Nguyen, Viet Ha [Université de Liège - ULg > > > Doct. sc. ingé. (aérosp. & méca. - Bologne)]
Golinval, Jean-Claude mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures >]
IMAC-XXIX: Conference & Exposition on Structural Dynamics - Advanced Aerospace Applications
International Modal Analysis Conference (IMAC XXIX)
du 31 janvier 2011 au 3 février 2011
Society of Experimental Mechanics
[en] Damage diagnosis ; Structural Health Monitoring ; Blind Source Separation Techniques
[en] Blind source separation (BSS) techniques are applied in many domains since they allow separating a set of signals from their observed mixture without the knowledge (or with very little knowledge) of the source signals or the mixing process. Two particular BSS techniques called Second-Order Blind Identification (SOBI) and Blind Modal Identification (BMID) are considered in this paper for the purpose of structural damage detection or fault diagnosis in mechanical systems. As shown on experimental examples, the BMID method reveals significant advantages. In addition, it is demonstrated that damage detection results may be improved significantly with the help of the block Hankel matrix. The main advantage in this case is that damage detection still remains possible when the number of available sensors is small or even reduced to one.
Damage detection is achieved by comparing the subspaces between the reference (healthy) state and a current state through the concept of subspace angle. The efficiency of the methods is illustrated using experimental data.
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