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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BJ - Thermodynamics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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