Publication detail
Neural network in the process of diagnostics
HAMMER, M.
Czech title
Neuronová síť v procesech diagnostiky.
English title
Neural network in the process of diagnostics
Type
journal article - other
Language
en
Original abstract
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 neural networks 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 abstract
Článek se zabývá diagnostikou izolačního materiálu elektrických strojů.
English abstract
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 neural networks 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.
Keywords in Czech
neuronová síť
Keywords in English
Neural network
Released
01.01.2003
ISSN
1335-8243
Volume
3
Number
2
Pages from–to
40–42
Pages count
6
BIBTEX
@article{BUT41965,
author="Miloš {Hammer},
title="Neural network in the process of diagnostics",
year="2003",
volume="3",
number="2",
month="January",
pages="40--42",
issn="1335-8243"
}