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HAMMER, M. MINISTR, M. ERTL, J. JANDA, O. BARVENČÍK, O.
Original Title
Power Oil Transformer Reliability Assessment Based on Fuzzy Inference Systems and Time Series Analysis
Type
journal article - other
Language
English
Original Abstract
The detection methods of dissolved gases in insulation oil of power oil transformers and mechanism of gas formation are described in this paper. The standard ČSN EN 60599 and the method for failure prediction which is based on time series analysis are discussed too. In the final part, this prediction is extended by fuzzy approaches.
Keywords
power oil transformer, dissolved gas analysis, ČSN EN 60599, prediction of failure, fuzzy approach, ANFIS
Authors
HAMMER, M.; MINISTR, M.; ERTL, J.; JANDA, O.; BARVENČÍK, O.
RIV year
2011
Released
16. 12. 2011
ISBN
1214-7044
Periodical
Energyspectrum - International e-Journal, www.energyspectrum.net
Year of study
6
Number
1
State
Czech Republic
Pages from
5
Pages to
16
Pages count
12
BibTex
@article{BUT75635, author="Miloš {Hammer} and Martin {Ministr} and Jakub {Ertl} and Ondřej {Janda} and Oldřich {Barvenčík}", title="Power Oil Transformer Reliability Assessment Based on Fuzzy Inference Systems and Time Series Analysis", journal="Energyspectrum - International e-Journal, www.energyspectrum.net", year="2011", volume="6", number="1", pages="5--16", issn="1214-7044" }