THICKNESS DETERMINATION OF A PLATE WITH VARYING THICKNESS USING AN ARTIFICIAL NEURAL NETWORK FOR TIME-FREQUENCY REPRESENTATION OF LAMB WAVES

被引：0

作者：

Treesatayapun, C. ^{[1
]}

Baltazar, A. ^{[1
]}

Balvantin, A. ^{[1
]}

Kim, J. -Y. ^{[2
]}

机构：

[1] CINVESTAV, Unidad Saltillo, Robot & Adv Mfg Program, Ramos Arizpe 25900, Coahuila, Mexico

[2] Georgia Inst Technol, GWW Sch Mech Engn, Atlanta, GA 30332 USA

来源：

REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 28A AND 28B | 2009年 / 1096卷

关键词：

Lamb Waves; Dispersion Curves; Time-Frequency Representation; Fuzzy Networks;

D O I：

暂无

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Thickness estimation of a varying-thickness media is carried out using an algorithm acting as an artificial neural network for time-frequency representation (TFR) of Lamb waves. Dispersion curves are reconstructed using a self adjustable network multi-input fuzzy rules emulated network (MIFREN). The uncertainty in the time-frequency determination is compared with a typical spectrogram technique. The proposed algorithm is computationally less complex than others used in the past. Experimental results were obtained by exciting Lamb waves on an aluminum plate with varying thickness; these were compared with numerical estimations.

引用

页码：619 / +

页数：2

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