Adaptive Neuro-Fuzzy Inference System for Power Oil Transformer Diagnostics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU94467" target="_blank" >RIV/00216305:26210/11:PU94467 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Adaptive Neuro-Fuzzy Inference System for Power Oil Transformer Diagnostics

Original language description

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%

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

MM Science Journal

ISSN

1803-1269

e-ISSN

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Volume of the periodical

4

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

325-331

UT code for WoS article

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EID of the result in the Scopus database

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