Detecting damages in metallic beam structures using a novel wavelet selection criterion

被引：23

作者：

Saadatmorad, Morteza ^{[1
]}

Khatir, Samir ^{[2
]}

Cuong-Le, Thanh ^{[2
]}

Benaissa, Brahim ^{[3
]}

Mahmoudi, Said ^{[4
]}

机构：

[1] Babol Noshirvani Univ Technol, Dept Mech Engn, Babol, Iran

[2] Ho Chi Minh City Open Univ, Ctr Engn Applicat & Technol Solut, Ho Chi Minh 700000, Vietnam

[3] Toyota Technol Inst, Dept Mech Syst Engn, Design Engn Lab, 2-12-1 Hisakata,Tenpaku Ku, Nagoya, Aichi 4688511, Japan

[4] Univ Mons, Fac Engn, Comp Sci Dept, B-7000 Mons, Belgium

来源：

JOURNAL OF SOUND AND VIBRATION | 2024年 / 578卷

关键词：

Damage detection; Damage identification; Damaged steel beam; Wavelet selection criterion; Wavelet transform; Beam structures; IDENTIFICATION;

D O I：

10.1016/j.jsv.2024.118297

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Structural damage detection using wavelet transform is effective if a suitable wavelet function is selected. However, the selection of the appropriate wavelet function can be a challenging task. This paper introduces a novel and efficient criterion for selecting the proper wavelet function. It is emphasized that there is a relationship between the accuracy of damage detection using wavelet detail coefficients and the correctness of the approximation of the original function. Accordingly, we define a ratio function and then a novel wavelet selection criterion called WSC in this study. After applying the proposed WSC criterion for 128 wavelet functions, it is found that the wavelet functions selected via the proposed criterion (both in numerical and experimental scenarios) can detect the position of damages in the beam structure with high accuracy.

引用

页数：19

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