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JANDA, O. HAMMER, M. MINISTR, M. ERTL, J.
Original Title
Adaptive Neuro-Fuzzy Inference System for Power Oil Transformer Diagnostics
Type
journal article - other
Language
English
Original Abstract
The adaptive neuro-fuzzy inference system for the diagnostics of power oil trans-formers is described in this paper. The system is based on the DGA methods where the ANFIS system is applied on the results. A new fuzzy system can be created or the original model of the diagnostic method according to the IEC 60599 standard can be adapted. The real data of gas concentrations was used for the learning process. The resulting accuracy of the optimized fuzzy model achieved up to 78%
Keywords
DGA, ANFIS, Fuzzy, IEC ratio, Transformer
Authors
JANDA, O.; HAMMER, M.; MINISTR, M.; ERTL, J.
RIV year
2011
Released
5. 10. 2011
Publisher
MM publishing
Location
Praha
ISBN
1803-1269
Periodical
MM Science Journal
Year of study
4
Number
3
State
Czech Republic
Pages from
325
Pages to
331
Pages count
7
BibTex
@article{BUT74336, author="Ondřej {Janda} and Miloš {Hammer} and Martin {Ministr} and Jakub {Ertl}", title="Adaptive Neuro-Fuzzy Inference System for Power Oil Transformer Diagnostics", journal="MM Science Journal", year="2011", volume="4", number="3", pages="325--331", issn="1803-1269" }