Distance Protection Based on Artificial Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F14%3A00317750" target="_blank" >RIV/68407700:21220/14:00317750 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/14:00317750
Result on the web
<a href="http://dx.doi.org/10.1109/EPE.2014.6839435" target="_blank" >http://dx.doi.org/10.1109/EPE.2014.6839435</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE.2014.6839435" target="_blank" >10.1109/EPE.2014.6839435</a>

Result language
angličtina
Original language name
Distance Protection Based on Artificial Neural Networks
Original language description
In this paper we present a new approach to determine the presence of fault in near-real time conditions and to determine the fault existence in the given line length based on the implementation of Artificial Neural Networks (ANN's) in the transmission lines, of an electrical power system.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2014 15th International Scientific Conference on Electric Power Engineering
ISBN
978-1-4799-3807-0
ISSN
—
e-ISSN
2376-5623
Number of pages
4
Pages from-to
91-94
Publisher name
Vysoké učení technické v Brně
Place of publication
Brno
Event location
Brno
Event date
May 12, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000358740100018

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