AE source location by neural networks with arrival time profiles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F09%3A00334346" target="_blank" >RIV/61388998:_____/09:00334346 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AE source location by neural networks with arrival time profiles
Original language description
Correct localization of acoustic emission (AE) sources is a basic requirement in AE analysis and consequent evaluation of damage mechanism. The localization procedures using artificial neural networks (ANN) represent today highly effective, alternative approach to classical triangulation algorithms. Nevertheless, their application possibilities are limited due to problematic collecting of sufficiently extensive training and testing data sets together with the non-portability of particular trained network to any other object. A new ANN-based approach, using so-called signal arrival time profiles, is proposed to overcome both limitations. Such approach provides the ANN training on numerical models and allows the application of learned ANN on real structures of various scales and materials. This enables considerable extension of ANN application possibilities. New method is illustrated on experimental data obtained during pen-tests on a steel plate, and its remarkable advantages are discus
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BI - Acoustics and oscillation
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NDT in PROGRESS
ISBN
978-80-214-3968-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
University of Technology Brno
Place of publication
Brno
Event location
Praha
Event date
Oct 12, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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