2016
DOI: 10.1063/1.4962407
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Note: Localization based on estimated source energy homogeneity

Abstract: Acoustic signal localization is a complex problem with a wide range of industrial and academic applications. Herein, we propose a localization method based on energy attenuation and inverted source amplitude comparison (termed estimated source energy homogeneity, or ESEH). This inversion is tested on both synthetic (numerical) data using a Lamb wave propagation model and experimental 2D plate data (recorded with 4 accelerometers sensitive up to 26 kHz). We compare the performance of this technique with classic… Show more

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Cited by 6 publications
(10 citation statements)
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“…Some of the signal localization types have been recently reviewed in Turkaya et al (2016). In the present article, we show the application of the estimation of source energy homogeneity (ESEH) to locate the source of the acoustic emissions during aerofracturing experiments (Turkaya et al, 2015).…”
Section: 1029/2019gl082198mentioning
confidence: 99%
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“…Some of the signal localization types have been recently reviewed in Turkaya et al (2016). In the present article, we show the application of the estimation of source energy homogeneity (ESEH) to locate the source of the acoustic emissions during aerofracturing experiments (Turkaya et al, 2015).…”
Section: 1029/2019gl082198mentioning
confidence: 99%
“…R(n) = ||r n − r s || is the distance between the source and the receiver, and h is the plate thickness. The minimum of this standard deviation over all tested positions r s , indicates the source location (Turkaya et al, 2016). However, for glass plates and the distances that are used in this experiment, viscous attenuation can be neglected (i.e., ≈ 0, Farin et al, 2015).…”
Section: The Esehmentioning
confidence: 99%
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“…In this study the resolution is set to ≈60 mm 2 per pixel. In other experiments where the mechanical vibrations are generated in plates by a stress exerted on plates, equation is expressed as a far‐field approximation of the Lamb waves (Farin et al, ; Goyder & White, ; Turkaya et al, ) : trueξ~false(l,ωfalse(kfalse)false)=itrueF~false(ωfalse(kfalse)false)8Bk22lkπeifalse(lkπfalse/4false) where trueξ~false(l,ωfalse(kfalse)false) is the displacement of the plate in Fourier domain at a distance l=false(xsxrfalse)2+false(ysyrfalse)2false) from the source, trueF~false(ωfalse(kfalse)false) is the applied force in Fourier domain at a point like source, B is the bending stiffness B=h3E12false(1ν2false) where h is the thickness of the plate, E is the Young's modulus, and ν is the Poisson's ratio of the plate material. k is the wavenumber where the dispersion relation with angular frequency ω is k=ω1false/2()ρhB1false/4.…”
Section: Constraints For the Numerical Modelmentioning
confidence: 99%
“…In this study the resolution is set to ≈ 60 mm 2 per pixel. In other experiments where the mechanical vibrations are generated in plates by a stress exerted on plates, equation (4) is expressed as a far-field approximation of the Lamb waves (Farin et al, 2016;Goyder & White, 1980;Turkaya et al, 2016) :…”
Section: Accelerometric Signal Generation Across the Platementioning
confidence: 99%