Publication detail
LIFETIME PREDICTION OF INSULATING MATERIALS BY FUZZY-NEURAL NETWORKS AND EXPERT SYSTEMS
HAMMER, M. ŘÍHA, Z. LATINA, P.
Czech title
PREDIKCE ŽIVOTNOSTI IZOLAČNÍHO IZOLAČNÍHO MATERIÁLU FUZZY NEURONOVÝMI SÍTĚMI A EXPERTNÍMI SYSTÉMY
English title
LIFETIME PREDICTION OF INSULATING MATERIALS BY FUZZY-NEURAL NETWORKS AND EXPERT SYSTEMS
Type
conference paper
Language
en
Original abstract
The paper deals with searching for new methods of diagnostics and lifetime prediction of insulating materials of electric rotary machines windings. The subject of the diagnostics is to specify the condition of insulation used. In this time, the most popular diagnostics tools are the methods of artificial intelligence like expert systems and fuzzy neural networks. In our research we are using expert system for diagnostics of insulating material and fuzzy neural network for lifetime prediction of this material. Input of those systems is Bv (activation energy) which was obtained by non-destructive measurement method. The determination of this quantity is the main prerequisite for the determination of output coefficient Up (breakdown voltage) characterizing the lifetime of the insulating system and, consequently, the whole electric machine.
Czech abstract
Tento článek pojednává o hledání nových metod diagnostiky a predikce životnosti izolačního materiálu vinutí elektrických točivých strojů.Předmětem diagnostiky je specifikovat užívaný stav izolace. Dnes jsou nejpopulárnější diagnostické nástroje metody z umělé inteligence jako expertní systémy a fuzzy neuronová sítě. V našem výzkumu používáme pro diagnostiku izolantu expertní systém a pro předpověď životnosti tohoto materiálu fuzzy neuronové sítě . Vstup těch systémů je Bv (aktivační energie) která byla získaná nedestruktivní měřící metodou. Určení této veličiny je hlavní předpoklad pro stanovení výstupního součinitele Up (průrazné napětí) charakterizující dobu životnosti izolačního systému a, následně, celého elektrického stroje.
English abstract
The paper deals with searching for new methods of diagnostics and lifetime prediction of insulating materials of electric rotary machines windings. The subject of the diagnostics is to specify the condition of insulation used. In this time, the most popular diagnostics tools are the methods of artificial intelligence like expert systems and fuzzy neural networks. In our research we are using expert system for diagnostics of insulating material and fuzzy neural network for lifetime prediction of this material. Input of those systems is Bv (activation energy) which was obtained by non-destructive measurement method. The determination of this quantity is the main prerequisite for the determination of output coefficient Up (breakdown voltage) characterizing the lifetime of the insulating system and, consequently, the whole electric machine.
Keywords in English
Neural Networks, Expert Systems, Diagnostics, Insulating Material, Artificial Intelligence
RIV year
2005
Released
06.09.2005
Publisher
University of Salerno
Location
Fisciano, Italy
ISBN
88-87030-96-0
Book
ICPR-18
Pages from–to
-–-
Pages count
4
BIBTEX
@inproceedings{BUT17945,
author="Miloš {Hammer} and Zbyněk {Říha} and Petr {Latina},
title="LIFETIME PREDICTION OF INSULATING MATERIALS BY FUZZY-NEURAL NETWORKS AND EXPERT SYSTEMS",
booktitle="ICPR-18",
year="2005",
month="September",
pages="----",
publisher="University of Salerno",
address="Fisciano, Italy",
isbn="88-87030-96-0"
}