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Description
  • Příspěvek se zabývá využitím umělé inteligence pro popis životnosti izolačního materiálu elektrického točivého stroje. Stav konkrétního izolačního materiálu je jistě důležitou částí správné funkce celého sledovaného objektu, tj. elektrického točivého stroje. Náš ústav se již několik let zabývá použitím neuronových sítí k popisu kondice izolačního materiálu. Doposud jsme stav izolačního materiálu řešili s daty získanými měřením na vzorku izolačního materiálu nedestruktivní metodou. Nyní se náš výzkum zabývá problémem, zda budou neuronové sítě vhodným a efektivním nástrojem pro diagnostiku i s daty naměřenými na reálném stroji. (cs)
  • The paper deals with the usage of artificial intelligence (neural networks) for description the lifetime of insulating material of electric rotary machine. A state of insulating material is the main part of reliability of whole system. Up to now, we worked with data obtained by non-destructive method in laboratory condition on insulating sample. At this time, we are trying to apply the data, which were measured by non-destructive method too. The data were measured on real electric motor and they will be used for inputs of the neural network. The neural network then can predict the remanent lifetime of investigate system
  • The paper deals with the usage of artificial intelligence (neural networks) for description the lifetime of insulating material of electric rotary machine. A state of insulating material is the main part of reliability of whole system. Up to now, we worked with data obtained by non-destructive method in laboratory condition on insulating sample. At this time, we are trying to apply the data, which were measured by non-destructive method too. The data were measured on real electric motor and they will be used for inputs of the neural network. The neural network then can predict the remanent lifetime of investigate system (en)
Title
  • THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL
  • POUŽITÍ NEURONOVÁ SÍTĚ PRO DIAGNOSTIKU ZBYTKOVÉ DOBY ŽIVOTNOSTI IZOLANTU (cs)
  • THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL (en)
skos:prefLabel
  • THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL
  • POUŽITÍ NEURONOVÁ SÍTĚ PRO DIAGNOSTIKU ZBYTKOVÉ DOBY ŽIVOTNOSTI IZOLANTU (cs)
  • THE USE OF NEURAL NETWORK FOR DIAGNOSTICS REMANENT LIFETIME OF INSULATING MATERIAL (en)
skos:notation
  • RIV/00216305:26210/05:PU55271!RIV07-MSM-26210___
http://linked.open.../vavai/riv/strany
  • 163-165
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM4977751310)
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
  • 548083
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/05:PU55271
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Neural Network, Diagnostic, Artificial Intelligence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0EB70AB89D51]
http://linked.open...v/mistoKonaniAkce
  • Bucharest
http://linked.open...i/riv/mistoVydani
  • Sibiu, Romania
http://linked.open...i/riv/nazevZdroje
  • UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hammer, Miloš
  • Latina, Petr
  • Říha, Zbyněk
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 973-718-259-6
http://localhost/t...ganizacniJednotka
  • 26210
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