Experimental Signal Deconvolution in Acoustic Emission Identification Setup

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F11%3A00192351" target="_blank" >RIV/68407700:21340/11:00192351 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Experimental Signal Deconvolution in Acoustic Emission Identification Setup

Popis výsledku v původním jazyce

Identification of acoustic sources is a great deal and the most important problem emerging in biomedical applications and nondestructive testing. We present the basics of time reversal Acoustic Emission (AE) principle and point out the advantages of AE nondestructive testing for localization and classification of acoustic sources. This approach provides the tool for the defect localization by means of the reversal wave focusing in nonlinearity position in the material under consideration. Also, using time reversal (TR) acoustics to AE signal, we are able to perform so-called experimental deconvolution. That means we are able by means of TR acoustics to eliminate the influence of material properties and AE sensor characteristics in measured signal. Consequently, we obtain convolutional signal in the closest neighborhood of acoustic source, which gives us the pure image of the real characteristics of AE source after deconvolution process applied to the signals detected. We describe the m

Název v anglickém jazyce

Experimental Signal Deconvolution in Acoustic Emission Identification Setup

Popis výsledku anglicky

Identification of acoustic sources is a great deal and the most important problem emerging in biomedical applications and nondestructive testing. We present the basics of time reversal Acoustic Emission (AE) principle and point out the advantages of AE nondestructive testing for localization and classification of acoustic sources. This approach provides the tool for the defect localization by means of the reversal wave focusing in nonlinearity position in the material under consideration. Also, using time reversal (TR) acoustics to AE signal, we are able to perform so-called experimental deconvolution. That means we are able by means of TR acoustics to eliminate the influence of material properties and AE sensor characteristics in measured signal. Consequently, we obtain convolutional signal in the closest neighborhood of acoustic source, which gives us the pure image of the real characteristics of AE source after deconvolution process applied to the signals detected. We describe the m

Druh

O - Ostatní výsledky

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů