Detail publikace

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

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

Anglický název

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

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

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.

Klíčová slova anglicky

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

Vydáno

2011-12-16

ISSN

1214-7044

Ročník

6

Číslo

1

Strany od–do

5–16

Počet stran

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"
}