Přístupnostní navigace
E-application
Search Search Close
Publication detail
ERTL, J. HAMMER, M. MINISTR, M. JANDA, O.
Original Title
Failure Probability Prediction of Power Oil Transformers
Type
journal article - other
Language
English
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.
Keywords
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
2011
Released
5. 10. 2011
Publisher
MM publishing, s.r.o.
Location
Praha
ISBN
1803-1269
Periodical
MM Science Journal
Year of study
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" }