Detail publikačního výsledku

Power Oil Transformer Reliability Assessment Based on Fuzzy Inference Systems and Time Series Analysis

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

Originální název

Power Oil Transformer Reliability Assessment Based on Fuzzy Inference Systems and Time Series Analysis

Anglický název

Power Oil Transformer Reliability Assessment Based on Fuzzy Inference Systems and Time Series Analysis

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

power oil transformer, dissolved gas analysis, ČSN EN 60599, prediction of failure, fuzzy approach, ANFIS

Klíčová slova v angličtině

power oil transformer, dissolved gas analysis, ČSN EN 60599, prediction of failure, fuzzy approach, ANFIS

Autoři

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

Rok RIV

2012

Vydáno

16.12.2011

ISSN

1214-7044

Periodikum

Energyspectrum - International e-Journal, www.energyspectrum.net

Svazek

6

Číslo

1

Stát

Česká republika

Strany od

5

Strany do

16

Strany počet

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"
}