About: Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů     Goto   Sponge   NotDistinct   Permalink

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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 (en)
  • 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 (cs)
Title
  • Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů
  • Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů (cs)
  • The neural networks and diagnostic of insulating materials for electrical machine windings (en)
skos:prefLabel
  • Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů
  • Neuronové sítě a diagnostika izolačních materiálů pro vinutí elektrických strojů (cs)
  • The neural networks and diagnostic of insulating materials for electrical machine windings (en)
skos:notation
  • RIV/00216305:26210/02:PU30611!RIV06-GA0-26210___
http://linked.open.../vavai/riv/strany
  • 63-68
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/03/0621)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 655432
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/02:PU30611
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Diagnostic, Artifical inteligence, Neural networks, Modelling, Identification, Simulation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4F76E5C5BAAB]
http://linked.open...v/mistoKonaniAkce
  • Zlín
http://linked.open...i/riv/mistoVydani
  • Zlín, Česká republika
http://linked.open...i/riv/nazevZdroje
  • TD 2002 - DIAGON 2002
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hammer, Miloš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita Tomáše Bati ve Zlíně. Academia centrum
https://schema.org/isbn
  • 80-7318-076-6
http://localhost/t...ganizacniJednotka
  • 26210
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