A working life diagnostic of insulating materials for electric machines winding

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F02%3APU30616" target="_blank" >RIV/00216305:26210/02:PU30616 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

Pracovní životnost izolačních materiálů vinutí elektrických strojů

Original language description

The contribution deals with the use of artificalintelligence methods in the life diagnostics of Relanex insulating material thet is applied as insulation of elestric machine windings. For example, neural networks are one applicable method. The method belong to the appropriate tools that provide the modeling, identification and simulation of technological systems and units. In such a case, the insulating material is used as a modelled and identified system. The first part of the paper describes the archuutecture and the setting of neural networks, the description of input modelled and identified data. The second part shows (in the figures) the curves of identification, modelling and the simulation of insulating material behaviour with neural networks. Tables evaluate the application of this tool for solution of thr problems investigated. We have used the abovementioned neural networks for the diagnosticsof insulating materials that were programmed in Matlab 6 environment. All simulation

Czech name

Pracovní životnost izolačních materiálů vinutí elektrických strojů

Czech description

The contribution deals with the use of artificalintelligence methods in the life diagnostics of Relanex insulating material thet is applied as insulation of elestric machine windings. For example, neural networks are one applicable method. The method belong to the appropriate tools that provide the modeling, identification and simulation of technological systems and units. In such a case, the insulating material is used as a modelled and identified system. The first part of the paper describes the archuutecture and the setting of neural networks, the description of input modelled and identified data. The second part shows (in the figures) the curves of identification, modelling and the simulation of insulating material behaviour with neural networks. Tables evaluate the application of this tool for solution of thr problems investigated. We have used the abovementioned neural networks for the diagnosticsof insulating materials that were programmed in Matlab 6 environment. All simulation

Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/GA102%2F03%2F0621" target="_blank" >GA102/03/0621: Irreversible processes in insulating materials for high temperature</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2002

Confidentiality

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

Article name in the collection

Nové smery v diagnostike a opravách elektrických strojov a zariadení

ISBN

80-7100-960-1

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

179-184

Publisher name

EDIS- vadavateľstvo ŽU

Place of publication

Žilina, Slovenská republika

Event location

Žilina

Event date

May 20, 2002

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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