Publication result detail

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

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

English Title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

English 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

Key words in English

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

2012

Released

16.12.2011

ISBN

1214-7044

Periodical

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

Volume

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"
}