Failure Probability Prediction of Power Oil Transformers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU94464" target="_blank" >RIV/00216305:26210/11:PU94464 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Failure Probability Prediction of Power Oil Transformers

Original language description

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 insulationoil. 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 ofindividual diagnostic methods on the prediction are compared.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

MM Science Journal

ISSN

1803-1269

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

237-246

UT code for WoS article

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EID of the result in the Scopus database

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