Publication detail

Application of Fuzzy Logic in Power Oil Transformers Diagnostics

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

Czech title

Aplikace fuzzy logiky v diagnostice olejových výkonových transformátorů

English title

Application of Fuzzy Logic in Power Oil Transformers Diagnostics

Type

journal article - other

Language

en

Original abstract

The diagnostics of transformer condition is more and more important during recent years. One of the most important diagnostic method is the analysis of the dissolved gases in oil (DGA) especially methods defined in standards IEC 60599 and IEEE Std C57.104-1991. This paper describes three DGA (C.E.G.B method, IEC method and Rogers method) methods, and consequently their extension using the fuzzy logic for the purpose of an increase of reliability and accuracy of results. Fuzzified methods, which were applied on test data, reached accuracy in range of 70 – 78%.

Czech abstract

V posledních letech se diagnostice a spolehlivosti transformátorů věnuje stále větší pozornost. Jedna z nejdůležitějších diagnostických metod v této oblasti je skupina metod zabývající se analýzou plynů rozpuštěných v oleji (DGA) a to zejména metody definované v normách IEC 60599 a IEEE Std C57.104-1991. Tento článek popisuje tři vybrané metody DGA (metoda C.E.G.B., metoda IEC a metoda Rogers) a následně jejich rozšíření za použití fuzzy logiky, a to za účelem zvýšení přesnosti a spolehlivosti výsledné diagnózy. Při aplikaci fuzzifikovaných metod na reálná data bylo dosaženo přesnosti v rozsahu 70- 80%.

English abstract

The diagnostics of transformer condition is more and more important during recent years. One of the most important diagnostic method is the analysis of the dissolved gases in oil (DGA) especially methods defined in standards IEC 60599 and IEEE Std C57.104-1991. This paper describes three DGA (C.E.G.B method, IEC method and Rogers method) methods, and consequently their extension using the fuzzy logic for the purpose of an increase of reliability and accuracy of results. Fuzzified methods, which were applied on test data, reached accuracy in range of 70 – 78%.

Keywords in Czech

Fuzzy logika, DGA, poměrové metody, transformátor

Keywords in English

Fuzzy logic, DGA, ratio methods, transformer

RIV year

2011

Released

05.10.2011

Publisher

MM publishing

Location

Praha

ISSN

1803-1269

Volume

4

Number

3

Pages from–to

319–325

Pages count

6

BIBTEX


@article{BUT74312,
  author="Ondřej {Janda} and Miloš {Hammer} and Jakub {Ertl} and Martin {Ministr},
  title="Application of Fuzzy Logic in Power Oil Transformers Diagnostics",
  year="2011",
  volume="4",
  number="3",
  month="October",
  pages="319--325",
  publisher="MM publishing",
  address="Praha",
  issn="1803-1269"
}