Detail publikace

Model Parameters Optimization for State Assessment of Power Oil Transformers

HAMMER, M. JANDA, O. ERTL, J.

Originální název

Model Parameters Optimization for State Assessment of Power Oil Transformers

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Power Oil Transformer, Fuzzy model, DGA, Optimization

Autoři

HAMMER, M.; JANDA, O.; ERTL, J.

Rok RIV

2012

Vydáno

12. 12. 2012

ISSN

1214-7044

Periodikum

Energyspectrum - International e-Journal, www.energyspectrum.net

Ročník

7

Číslo

2012

Stát

Česká republika

Strany od

1

Strany do

13

Strany počet

13

BibTex

@article{BUT95808,
  author="Miloš {Hammer} and Ondřej {Janda} and Jakub {Ertl}",
  title="Model Parameters Optimization for State Assessment of Power Oil Transformers",
  journal="Energyspectrum - International e-Journal, www.energyspectrum.net",
  year="2012",
  volume="7",
  number="2012",
  pages="1--13",
  issn="1214-7044"
}