Publication 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.

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

Language

en

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 in English

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

Released

2011-12-16

ISSN

1214-7044

Volume

6

Number

1

Pages from–to

5–16

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"
}