Publication result detail

Failure Probability Prediction of Power Oil Transformers

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

Original Title

Failure Probability Prediction of Power Oil Transformers

English Title

Failure Probability Prediction of Power Oil Transformers

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

The failure probability prediction method of power oil transformers is described in this paper. This method is based on the theory which embodies the time series modeling and the diagnostic methods analyzing the gases dissolved in transformer insulation oil. The considered diagnostics methods are Duval triangle method, method according to the ČSN EN 60599 standard, Doernenburg ratio method and Rogers ratio method. At the end of the paper, the suitability of the used time series trends and the effect of individual diagnostic methods on the prediction are compared.

English abstract

The failure probability prediction method of power oil transformers is described in this paper. This method is based on the theory which embodies the time series modeling and the diagnostic methods analyzing the gases dissolved in transformer insulation oil. The considered diagnostics methods are Duval triangle method, method according to the ČSN EN 60599 standard, Doernenburg ratio method and Rogers ratio method. At the end of the paper, the suitability of the used time series trends and the effect of individual diagnostic methods on the prediction are compared.

Keywords

Power Oil Transformer, Gases Dissolved in Insulation Oil, Diagnostic Methods, Time Series, Failure Probability Prediction

Key words in English

Power Oil Transformer, Gases Dissolved in Insulation Oil, Diagnostic Methods, Time Series, Failure Probability Prediction

Authors

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

RIV year

2012

Released

05.10.2011

Publisher

MM publishing, s.r.o.

Location

Praha

ISBN

1803-1269

Periodical

MM Science Journal

Volume

4

Number

3

State

Czech Republic

Pages from

237

Pages to

246

Pages count

10

BibTex

@article{BUT74333,
  author="Jakub {Ertl} and Miloš {Hammer} and Martin {Ministr} and Ondřej {Janda}",
  title="Failure Probability Prediction of Power Oil Transformers",
  journal="MM Science Journal",
  year="2011",
  volume="4",
  number="3",
  pages="237--246",
  issn="1803-1269"
}