Publication detail
Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines
LATINA, P. PAVLÍK, J. HAMMER, M.
Czech title
Neuronové sítě: off-line diagnostika vysokonapěťových elektrických strojů
English title
Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines
Type
conference paper
Language
en
Original abstract
This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored.
Czech abstract
Článek popisuje užití neuronových sítí jako off-line diagnostický nástroj vysokonapěťových elektrických strojů. Dignostické veličiny, pomocí kterých se posuzuje stav stroje, byly měřeny nedestruktivními metodami.
English abstract
This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored.
Keywords in Czech
neuronové sítě, umělá inteligence, diagnostika
Keywords in English
neural network, artificial intelligence, diagnostics
RIV year
2009
Released
01.11.2009
Publisher
Springer Berlin Heidelberg
Location
Berlin
ISBN
978-3-642-05021-3
Book
Recent Advances in mechatronics 2008-2009
Edition number
1
Pages from–to
133–137
Pages count
5
BIBTEX
@inproceedings{BUT32421,
author="Petr {Latina} and Josef {Pavlík} and Miloš {Hammer},
title="Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines",
booktitle="Recent Advances in mechatronics 2008-2009",
year="2009",
month="November",
pages="133--137",
publisher="Springer Berlin Heidelberg",
address="Berlin",
isbn="978-3-642-05021-3"
}