This paper discusses a new structural damage identification method where a grey relational analysis is applied to the measured frequency response function (FRF) matrix which has been subjected to a singular value decomposition (SVD). A number of vectors, which define the dynamic features of the system by means of normalized and truncated singular values, are used to form a reference matrix describing the variable states of the structure under study. A grey relational identification algorithm is utilized to investigate the discrepancies, i.e. damage, between the reference matrix and a number of test matrices formed using further measured FRF data. The methodology was applied to the healthy and damaged specimens of a railway wheel and the damage was located with good accuracy and repeatability. The FRFs of both healthy and damaged railway wheels were measured in the x, y, z directions at five measurement points along a radius, yielding 15 FRFs, each containing 4,096 spectral lines. It was concluded that the method was well suited to on-line structural healthy monitoring since neither a mathematical model nor a complete set of measurements are needed.


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    Title :

    Structural damage identification via grey relational analysis of SVD-processed FRFs


    Additional title:

    Identifizierung von Strukturschäden mittels einer grauen Relationsanalyse von durch Singulärwertzerlegung behandelten Frequenzgangfunktionen


    Contributors:
    Zang, C. (author) / Imregun, M. (author)


    Publication date :

    2000


    Size :

    7 Seiten, 7 Bilder, 4 Tabellen, 14 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






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