Benchmark of Damage Localisation Algorithms Using Mode Shape Data

Abstract:

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This paper presents a comparative study of three enhanced signal processing methods to locate damage on mode shape data. The first method called curvature mode shape is used as a reference. The second tool uses wavelet transform and singularity detection theory to locate damage. Finally we introduce the windowed fractal dimension of a signal as a tool to easily measure the local complexity of a signal. Our benchmark aims at comparing the crack detection using optimal spatial sampling under different severity, beam boundary conditions (BCs) and added noise measurements.

Info:

Periodical:

Key Engineering Materials (Volumes 293-294)

Edited by:

W.M. Ostachowicz, J.M. Dulieu-Barton, K.M. Holford, M. Krawczuk and A. Zak

Pages:

305-312

DOI:

10.4028/www.scientific.net/KEM.293-294.305

Citation:

J. Morlier et al., "Benchmark of Damage Localisation Algorithms Using Mode Shape Data ", Key Engineering Materials, Vols. 293-294, pp. 305-312, 2005

Online since:

September 2005

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Price:

$35.00

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