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Description
  • Článek se zabývá diagnostikou izolačního materiálu elektrických strojů. (cs)
  • The life of the insulating systems of electric rotary machines is strongly dependent upon electrical and thermal features of the insulating material used. The subject of the diagnostics is to specify the condition of insulation used. At present days, themost popular diagnostic tools are the methods of artificial intelligence, and one method is the fuzzy modelling. However, this tool has many variable parameters, and the resulting effect depends upon the suitable setting. This paper is concentrated on tthe use of genetic algorithms for the optimization of variable parameters in the fuzzy model that is used as a diagnostic tool for winding insulation of electric rotary machines. In this case, the optimization of fuzzy model means to minimize the absolute mean error for the diagnostics of winding insulation. The first section of the paper describes the architecture and the setting of the genetic algorithm, the fuzzy model optimization and the input/output data. The second section presents the optimizati
  • The life of the insulating systems of electric rotary machines is strongly dependent upon electrical and thermal features of the insulating material used. The subject of the diagnostics is to specify the condition of insulation used. At present days, themost popular diagnostic tools are the methods of artificial intelligence, and one method is the fuzzy modelling. However, this tool has many variable parameters, and the resulting effect depends upon the suitable setting. This paper is concentrated on tthe use of genetic algorithms for the optimization of variable parameters in the fuzzy model that is used as a diagnostic tool for winding insulation of electric rotary machines. In this case, the optimization of fuzzy model means to minimize the absolute mean error for the diagnostics of winding insulation. The first section of the paper describes the architecture and the setting of the genetic algorithm, the fuzzy model optimization and the input/output data. The second section presents the optimizati (en)
Title
  • Fuzzy model optimalizovaný genetickým algoritmem. (cs)
  • Fuzzy model optimization by a genetic algorithm
  • Fuzzy model optimization by a genetic algorithm (en)
skos:prefLabel
  • Fuzzy model optimalizovaný genetickým algoritmem. (cs)
  • Fuzzy model optimization by a genetic algorithm
  • Fuzzy model optimization by a genetic algorithm (en)
skos:notation
  • RIV/00216305:26210/02:PU30561!RIV06-GA0-26210___
http://linked.open.../vavai/riv/strany
  • 58-62
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
  • 646736
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/02:PU30561
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic algorithm, System optimization, Neural network, Artificial intelligence, Diagnostics, Insulation and fuzzy (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C77972200D03]
http://linked.open...v/mistoKonaniAkce
  • Constanta
http://linked.open...i/riv/mistoVydani
  • Constanta, Rumunsko
http://linked.open...i/riv/nazevZdroje
  • Study and control of corrosion in the perspective of suistanable development of urban distribution grids
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
  • S.C.ICPE
https://schema.org/isbn
  • 973-95041-3-2
http://localhost/t...ganizacniJednotka
  • 26210
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