Benchmark of damage localisation algorithms using mode shape data

被引：6
|
作者：
Morlier, J
Bos, F
Castera, P
机构：
[1] CNRS, INRA, LRBB Mixed Unit, F-33612 Cestas, France
[2] XYLOMECA, F-24700 Moulin Neuf, France
来源：
DAMAGE ASSESSMENT OF STRUCTURES VI | 2005年 / 293-294卷
关键词：
damage detection; curvature; wavelets; fractal dimension; CRACK IDENTIFICATION; BEAM;
D O I：
10.4028/www.scientific.net/KEM.293-294.305
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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.
引用
收藏
页码：305 / 312
页数：8
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