Neural network AE source location apart from structure size and material
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F10%3A00363592" target="_blank" >RIV/61388998:_____/10:00363592 - isvavai.cz</a>
Result on the web
<a href="http://www.ndt.net/search/abstract.php3?AbsID=10828" target="_blank" >http://www.ndt.net/search/abstract.php3?AbsID=10828</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Neural network AE source location apart from structure size and material
Original language description
AE localization procedures using artificial neural networks (ANN) represent extremely effective alternative to classical triangulation methods. Nevertheless, their application always requires full-scale, time consuming ANN training on each specific structure. Disadvantage of particularly trained ANN algorithm is in its non-transferability to any other object. A new ANN-based AE source location approach is proposed in this paper to overcome such limitation. The method replaces standard arrival time differences at the ANN inputs by so called signal arrival time profiles, independent on material and scale changes. The ANN training can be also performed theoretically on geometrical models (i.e. without any experimental errors) and learned ANN is then applied on real structures with different dimensions and materials. Such approach enables considerable extension of ANN application possibilities. The use of new AE source location method is illustrated on experimental data obtained during air
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Acoustic Emission
ISSN
0730-0050
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
-
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
99-107
UT code for WoS article
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EID of the result in the Scopus database
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