Damage identification from uniform load surface using continuous and stationary wavelet transforms

Masoumi, Masoud

doi:10.1590/s1679-78252014000500001

Cited by 10 publications

(10 citation statements)

References 26 publications

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“…Their method implements SWT to refine the modal shapes and then look for damage applying CWT to the refined modal shape. Masoumi and Ashory [31] made numerical and experimental studies on this method to localize cracks. However, they only took into account the first modal shape in their calculations.…”

Section: Literature Reviewmentioning

confidence: 99%

Damage detection methodology on beam-like structures based on combined modal Wavelet Transform strategy

Serra

Lopez

2017

Mechanics & Industry

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Different approaches on the detection of damages based on dynamic measurement of structures have appeared in the last decades. They were based, amongst others, on changes in natural frequencies, modal curvatures, strain energy or flexibility. Wavelet analysis has also been used to detect the abnormalities on modal shapes induced by damages. However the majority of previous work was made with non-corrupted by noise signals. Moreover, the damage influence for each mode shape was studied separately. This paper proposes a new methodology based on combined modal wavelet transform strategy to cope with noisy signals, while at the same time, able to extract the relevant information from each mode shape. The proposed methodology will be then compared with the most frequently used and wide-studied methods from the bibliography. To evaluate the performance of each method, their capacity to detect and localize damage will be analyzed in different cases. The comparison will be done by simulating the oscillations of a cantilever steel beam with and without defect as a numerical case. The proposed methodology proved to outperform classical methods in terms of noisy signals.

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Section: Literature Reviewmentioning

confidence: 99%

Damage detection methodology on beam-like structures based on combined modal Wavelet Transform strategy

Serra

Lopez

2017

Mechanics & Industry

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“…Their respective SMSs yielded by equation (3) occupy smaller-, intermediate-, and greater-scale contents in light of the inverse relation between frequency and scale in a wavelet definition (Mallat and Hwang, 1992;Masoumi and Ashory, 2014). That being the case, the damage component can be managed by successively adjusting the scale parameter s in equation (3).…”

Section: Smss For Isolating Damage Componentmentioning

confidence: 99%

“…Unfortunately, a pristine counterpart is commonly unavailable in real-life delamination diagnosis, severely hampering the feasibility of delamination detection. To address this limitation, this study focuses on developing a non-baseline scheme for identifying delamination by fully integrating noncontact high-resolution vibration measurement techniques and advanced signal processing theories including fractal analysis (Cao et al, 2005(Cao et al, , 2006Farhidzadeh et al, 2013;Moustafa et al, 2014;Moustafa and Salamone, 2012) and wavelet transforms (Cao and Qiao, 2008;Masoumi and Ashory, 2014;Quek et al, 2001;Sohn et al, 2004;Wang and Deng, 1999;Wei et al, 2004;Wu and Wang, 2011). First, two new concepts, scale mode shape (SMS) and scale waveform dimension (SWD), are elaborated.…”

Section: Introductionmentioning

confidence: 99%

Non-baseline identification of delamination in plates using wavelet-aided fractal analysis of two-dimensional mode shapes

Bai

Radzieński

Cao

et al. 2014

Journal of Intelligent Material Systems and Structures

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Delamination is a typical form of damage in composite plates. Identification of delamination in plates has been a focus of increasing research interest in relatively recent years. This study develops a new approach, termed a scale waveform dimension analysis of two-dimensional mode shapes, to identify delamination in composite plates. The scale waveform dimension analysis comprises two components: decomposition of a mode shape into scale mode shapes and waveform dimension analysis of scale mode shapes. The first component acts as a splitter that broadly splits a noisy mode shape into three sets of trend-, noise-, and damage-scale mode shapes, from which the damage scale mode shapes can be selected for use in damage characterization; the second component functions as a detector to detect abnormalities of damage scale mode shapes, to indicate the presence and location of delamination. The efficacy of the method is numerically studied and experimentally examined using composite plates containing small delamination. The results show that the proposed method can identify delamination with great accuracy in noisy conditions, needing no intact baseline mode shapes nor any prior knowledge of either the material properties or boundary conditions of the plate being inspected.

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“…Masoumi, et al [10] identified the damage location using the continuous and the stationary wavelet transforms on the uniform load surface. Janeliukstis et al [11] detected the damage in polymer composite beams based on spatial continuous wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring Usingwavelet Transformnumerically and Experimentally

Selmy

Desoki

Mourad

et al. 2019

Journal of Al-Azhar University Engineering Sector

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Monitoring structure condition and detecting structural damage at the earliest possible stage have been a focus research recently. In this paper, a procedure for damage detection using wavelet analysis is presented. Damage identification in beams includes two steps. The first step is to detect the damage location, and the second step is to calculate the damage severity. A numerical simulation by Matlab is created to calculate the beam mode shapes. The damage location could be obtained by analyzing the fundamental mode shape by wavelet analysis. Effects of noise on detecting the damage are analyzed. Experimental tests are done to validate this technique in detecting damage location and damage severity. Two wavelet transforms (continuous, discrete) are used to analyze both the calculated and measured fundamental mode shape. Detailed parametric studies were conducted by changing damage location, intensity and wavelet families. These studies showed that the proposed technique could accurately predict the damage location and its severity.

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Damage identification from uniform load surface using continuous and stationary wavelet transforms

Cited by 10 publications

References 26 publications

Damage detection methodology on beam-like structures based on combined modal Wavelet Transform strategy

Damage detection methodology on beam-like structures based on combined modal Wavelet Transform strategy

Non-baseline identification of delamination in plates using wavelet-aided fractal analysis of two-dimensional mode shapes

Structural Health Monitoring Usingwavelet Transformnumerically and Experimentally

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