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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
Stát
Česká republika
Strany od
1
Strany do
13
Strany počet
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" }