FUZZY NEURONOVÁ SÍŤ JAKO PREDIKTOR ZBYTKOVÉ ŹIVOTNOSTI IZOLAČNÍHO MATERIÁLU

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F05%3APU55277" target="_blank" >RIV/00216305:26210/05:PU55277 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

FUZZY NEURAL NETWORK AS A LIFETIME PREDICTOR OF INSULATIVE MATERIAL

Popis výsledku v původním jazyce

When researching electro-insulating materials, searching for new methods of diagnostics and prediction of the lifetime of those insulating materials assumes more and more importance. We are concerned with degradation process of insulating material Relanex used for insulation systems of electric rotary machines windings. Our research is focused to residual lifetime prediction of this insulation systém bhy artificial intelligence. Most usable methods of artificial intelligence are neural networks and fuzzzy systems. In this contribution we are especially focused to use hybrid systems like fuzzy-neural networks. The first part of the paper describes the use of fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machine. The second part shows the simulation of insulating material behavior with fuzzy neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned fu

Název v anglickém jazyce

FUZZY NEURAL NETWORK AS A LIFETIME PREDICTOR OF INSULATIVE MATERIAL

Popis výsledku anglicky

When researching electro-insulating materials, searching for new methods of diagnostics and prediction of the lifetime of those insulating materials assumes more and more importance. We are concerned with degradation process of insulating material Relanex used for insulation systems of electric rotary machines windings. Our research is focused to residual lifetime prediction of this insulation systém bhy artificial intelligence. Most usable methods of artificial intelligence are neural networks and fuzzzy systems. In this contribution we are especially focused to use hybrid systems like fuzzy-neural networks. The first part of the paper describes the use of fuzzy neural networks which forecast the life of insulating material for windings in electric rotary machine. The second part shows the simulation of insulating material behavior with fuzzy neural networks. Tables evaluate the application of this tool for the solution of the problems investigated. We have used the above-mentioned fu

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název statě ve sborníku

UBR-CORR Study and Control of Corroslon in the Perspective of Sustalnable Development of Urban Distribution Grids

ISBN

973-718-259-6

ISSN

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e-ISSN

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Počet stran výsledku

3

Strana od-do

146-148

Název nakladatele

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Místo vydání

Sibiu, Romania

Místo konání akce

Bucharest

Datum konání akce

9. 6. 2005

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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