Detail publikace

Failure Probability Prediction of Power Oil Transformers

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

Anglický název

Failure Probability Prediction of Power Oil Transformers

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

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

Vydáno

2011-10-05

Nakladatel

MM publishing, s.r.o.

Místo

Praha

ISSN

1803-1269

Ročník

4

Číslo

3

Strany od–do

237–246

Počet stran

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"
}