Experimental Study on Feature Selection Using Artificial AE Sources

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99772" target="_blank" >RIV/00216305:26220/12:PU99772 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Experimental Study on Feature Selection Using Artificial AE Sources
Original language description
Acoustic emissions in materials might be generated by several different physical processes. Distinction of these processes can be supported by analysis of the recorded signals. An AE signal itself is not directly related to its origin. Signals are affected by many factors such as the tested specimen, waveguide transfer function given by structure and homogeneity of material, transfer function of used sensors, etc. This work aims to identify signal features that are correlated with acoustic emission source type by analyzing artificial acoustic emission events. Signals are generated using a piezoelectric transducer and a signal generator that emits signals with various parameters.
Czech name
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Czech description
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Project
<a href="/en/project/GD102%2F09%2FH074" target="_blank" >GD102/09/H074: Diagnostics of material defects using the latest defectoscopic methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
30th European Conference on Acoustic Emission Testing & 7th International Conference on Acoustic Emission - Proceedings
ISBN
978-84-615-9941-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
819-825
Publisher name
University of Granada
Place of publication
Granada
Event location
Granada
Event date
Sep 12, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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