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Description
  • This paper describes the optimization module of the di-agnostic system. The basic optimization principles are presented by means of the artificial intelligence algorithms, especially those which are based on the evolutionary systems. We can rank among them the genetic algorithms, differential evolution and PSO algorithm. The objective of this paper is to compare such algorithms for possible applications in the diagnostic field and the assessment of state in technical systems. The optimization performance is shown on a group of test functions, and consequently on the example of the fuzzy DGA model optimization which can be used for the evaluation of state of power oil transformers.
  • This paper describes the optimization module of the di-agnostic system. The basic optimization principles are presented by means of the artificial intelligence algorithms, especially those which are based on the evolutionary systems. We can rank among them the genetic algorithms, differential evolution and PSO algorithm. The objective of this paper is to compare such algorithms for possible applications in the diagnostic field and the assessment of state in technical systems. The optimization performance is shown on a group of test functions, and consequently on the example of the fuzzy DGA model optimization which can be used for the evaluation of state of power oil transformers. (en)
Title
  • Model Parameters Optimization for State Assessment of Power Oil Transformers
  • Model Parameters Optimization for State Assessment of Power Oil Transformers (en)
skos:prefLabel
  • Model Parameters Optimization for State Assessment of Power Oil Transformers
  • Model Parameters Optimization for State Assessment of Power Oil Transformers (en)
skos:notation
  • RIV/00216305:26210/12:PU101013!RIV13-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 2012
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
  • 150934
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/12:PU101013
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Power Oil Transformer, Fuzzy model, DGA, Optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [CD0EE23BF2A6]
http://linked.open...i/riv/nazevZdroje
  • Energyspectrum - International e-Journal, www.energyspectrum.net
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 7
http://linked.open...iv/tvurceVysledku
  • Ertl, Jakub
  • Hammer, Miloš
  • Janda, Ondřej
issn
  • 1214-7044
number of pages
http://localhost/t...ganizacniJednotka
  • 26210
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