Acoustic Emission Testing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00223104" target="_blank" >RIV/68407700:21340/14:00223104 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Acoustic Emission Testing

Popis výsledku v původním jazyce

Acoustic Emission (AE) is a non-destructive method in that aims to do a wide group of analysis to examine the behaviour and evaluate the properties of a material deforming under stress without causing any damage. The defectoscopy principle is used to characterize and identify the damage developments. Reliable identification and classification of pre-localized AE sources is one of the most important and also most difficult problems in AE monitoring. In order to classify different AE sources, suitable signal parameters and a classification method are necessary. In this work, the signals are distinguished by means of newly suggested parameters obtained directly from signals and from signal spectra. The parameters are calculated from a continuous version of formerly suggested successful parameters. As the classification method k-means and the Gaussian Mixture Model (GMM) are used. All suggested parameters along with the classification method are tested on the laboratory measured different

Název v anglickém jazyce

Acoustic Emission Testing

Popis výsledku anglicky

Acoustic Emission (AE) is a non-destructive method in that aims to do a wide group of analysis to examine the behaviour and evaluate the properties of a material deforming under stress without causing any damage. The defectoscopy principle is used to characterize and identify the damage developments. Reliable identification and classification of pre-localized AE sources is one of the most important and also most difficult problems in AE monitoring. In order to classify different AE sources, suitable signal parameters and a classification method are necessary. In this work, the signals are distinguished by means of newly suggested parameters obtained directly from signals and from signal spectra. The parameters are calculated from a continuous version of formerly suggested successful parameters. As the classification method k-means and the Gaussian Mixture Model (GMM) are used. All suggested parameters along with the classification method are tested on the laboratory measured different

Druh

D - Stať ve sborníku

CEP obor

JS - Řízení spolehlivosti a kvality, zkušebnictví

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of Stochastic and Physical Monitoring Systems 2014

ISBN

978-80-01-05616-5

ISSN

—

e-ISSN

—

Počet stran výsledku

11

Strana od-do

181-191

Název nakladatele

ČVUT v Praze

Místo vydání

Praha

Místo konání akce

Malá Skála

Datum konání akce

23. 6. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—