Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F09%3APU83715" target="_blank" >RIV/00216305:26210/09:PU83715 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines

Original language description

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 quantitiesare obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Recent Advances in mechatronics 2008-2009

ISBN

978-3-642-05021-3

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

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Publisher name

Springer Berlin Heidelberg

Place of publication

Berlin

Event location

Luhačovice

Event date

Nov 18, 2009

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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