Publication result detail

Application of Fuzzy Logic in Power Oil Transformers Diagnostics

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

Original Title

Application of Fuzzy Logic in Power Oil Transformers Diagnostics

English Title

Application of Fuzzy Logic in Power Oil Transformers Diagnostics

Type

Peer-reviewed article not indexed in WoS or Scopus

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%.

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

Fuzzy logic, DGA, ratio methods, transformer

Key words in English

Fuzzy logic, DGA, ratio methods, transformer

Authors

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

RIV year

2012

Released

05.10.2011

Publisher

MM publishing

Location

Praha

ISBN

1803-1269

Periodical

MM Science Journal

Volume

4

Number

3

State

Czech Republic

Pages from

319

Pages to

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",
  journal="MM Science Journal",
  year="2011",
  volume="4",
  number="3",
  pages="319--325",
  issn="1803-1269"
}