HEATING PREDICTION OF ELECTRIC MACHINE USING NEURAL NETWORK
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F10%3APU90781" target="_blank" >RIV/00216305:26210/10:PU90781 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
HEATING PREDICTION OF ELECTRIC MACHINE USING NEURAL NETWORK
Original language description
The neural network of synchronous machine was created for the possibility of temperature prediction of the most important machine parts in real time. The normal thermal model of a synchronous machine allows prediction temperature of machine parts, but not in real time. One time step calculation with normal thermal model is about several minutes. Neural network calculate one time step during several milliseconds.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BJ - Thermodynamics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDEL 2010 - 16th International Conference on Soft Computing
ISBN
978-80-214-4120-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
298-302
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno University of Technology
Event date
Jun 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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