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Benchmark of Damage Localisation Algorithms Using Mode Shape Data

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Abstract:

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.

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Periodical:

Key Engineering Materials (Volumes 293-294)

Pages:

305-312

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.293-294.305

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Online since:

September 2005

Authors:

Joseph Morlier, F. Bos, P. Castera

Keywords:

Curvature, Damage Detection, Fractal Dimension, Wavelet

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© 2005 Trans Tech Publications Ltd. All Rights Reserved

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