Signal source location by means of neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F02%3APU29907" target="_blank" >RIV/00216305:26220/02:PU29907 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/02:PU30568
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Signal source location by means of neural network
Original language description
This work deals with pertinent application of signal source location method by means of neural network. As a source an acoustic emission signal was used. Among the most important parameters participating in the final results was the correct measurement method and signal processing choice. For the signal source location the Back Propagation-type neural network was used. The problem dealt with was choice of suitable signal parameters of all the parameters obtained by measurement. These parameters then reppresented the neural network inputs and influenced its results.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
25th European Conference on Acoustic Emission Testing - EWGAE 2002, Poceedings Volume I
ISBN
80-214-2174-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
99-106
Publisher name
Czech Society for Non-desctructive Testing
Place of publication
Brno, Czech Republic
Event location
Praha
Event date
Sep 11, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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