Neural network in the process of diagnostics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F03%3APU42089" target="_blank" >RIV/00216305:26210/03:PU42089 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Neural network in the process of diagnostics
Original language description
The contribution deals with the use of artifical inteligence methods in the lifetime diagnostics of Relanex insulating material that is appliedas insulation of electrical machine windings. For example, neural networks are one applicable method. The method belongs to the appropriate tools that provide the modelling, identification and simulation of technological systems and units. In such a case, the insulating material is used as a modelled and identified system. We have used the above-mentioned neuralnetworks for the diagnostics of insulating materials that were programmed in Matlab 6 enviroment. All simulations and the values calculated were also obtained by means of this product.
Czech name
Neuronová síť v procesech diagnostiky.
Czech description
Článek se zabývá diagnostikou izolačního materiálu elektrických strojů.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F03%2F0621" target="_blank" >GA102/03/0621: Irreversible processes in insulating materials for high temperature</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Electrotechnica et Informatica
ISSN
1335-8243
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
6
Pages from-to
40-45
UT code for WoS article
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EID of the result in the Scopus database
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