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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F02%3APU30611%21RIV06-GA0-26210___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
The contribution deals with the use of artifical inteligence methods in the life diagnostics of Relanex insulating material that is applied as 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. The first part of the paper describes the aarchitecture and the setting of neural networks, the description of input modelled and identified data. The second part shows (in the figures) the curves of identification, modelling and the simulation of insulating material behaviour with neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned neural networks for the diagnostics of insulating materials that were programmed in Matlab 6 environment. All simulations and The contribution deals with the use of artifical inteligence methods in the life diagnostics of Relanex insulating material that is applied as 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. The first part of the paper describes the aarchitecture and the setting of neural networks, the description of input modelled and identified data. The second part shows (in the figures) the curves of identification, modelling and the simulation of insulating material behaviour with neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned neural networks for the diagnostics of insulating materials that were programmed in Matlab 6 environment. All simulations and The contribution deals with the use of artifical inteligence methods in the life diagnostics of Relanex insulating material that is applied as 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. The first part of the paper describes the aarchitecture and the setting of neural networks, the description of input modelled and identified data. The second part shows (in the figures) the curves of identification, modelling and the simulation of insulating material behaviour with neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned neural networks for the diagnostics of insulating materials that were programmed in Matlab 6 environment. All simulations and
dcterms:title
The neural networks and diagnostic of insulating materials for electrical machine windings Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů
skos:prefLabel
Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů The neural networks and diagnostic of insulating materials for electrical machine windings
skos:notation
RIV/00216305:26210/02:PU30611!RIV06-GA0-26210___
n4:strany
63-68
n4:aktivita
n10:P
n4:aktivity
P(GA102/03/0621)
n4:dodaniDat
n17:2006
n4:domaciTvurceVysledku
n21:1198165
n4:druhVysledku
n20:D
n4:duvernostUdaju
n14:S
n4:entitaPredkladatele
n5:predkladatel
n4:idSjednocenehoVysledku
655432
n4:idVysledku
RIV/00216305:26210/02:PU30611
n4:jazykVysledku
n16:cze
n4:klicovaSlova
Diagnostic, Artifical inteligence, Neural networks, Modelling, Identification, Simulation
n4:klicoveSlovo
n7:Identification n7:Neural%20networks n7:Artifical%20inteligence n7:Modelling n7:Diagnostic n7:Simulation
n4:kontrolniKodProRIV
[4F76E5C5BAAB]
n4:mistoKonaniAkce
Zlín
n4:mistoVydani
Zlín, Česká republika
n4:nazevZdroje
TD 2002 - DIAGON 2002
n4:obor
n15:JA
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:projekt
n13:GA102%2F03%2F0621
n4:rokUplatneniVysledku
n17:2002
n4:tvurceVysledku
Hammer, Miloš
n4:typAkce
n12:EUR
n4:zahajeniAkce
2002-05-21+02:00
s:numberOfPages
6
n3:hasPublisher
Univerzita Tomáše Bati ve Zlíně. Academia centrum
n18:isbn
80-7318-076-6
n9:organizacniJednotka
26210