Publication detail

HEATING PREDICTION OF ELECTRIC MACHINE USING NEURAL NETWORK

VLACH, R.

Czech title

Predikce oteplení elektrického stroje užitím neuronové sítě

English title

HEATING PREDICTION OF ELECTRIC MACHINE USING NEURAL NETWORK

Type

conference paper

Language

en

Original abstract

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 abstract

Neuronová síť synchronního stroje byla vytvořena pro možnost predikce teplot nejdůležitějších částí stroje v reálném čase. Běžný tepelný model není schopen predikovat teploty v reálném čase proto byla využita umělá neuronová síť jako ideální nástroj.

English abstract

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.

Keywords in Czech

neuronové sítě, predikce, chlazení, elektrický stroj

Keywords in English

neural network, prediction, cooling, electric machine.

RIV year

2010

Released

25.06.2010

Location

Brno

ISBN

978-80-214-4120-0

Book

MENDEL 2010 - 16th International Conference on Soft Computing

Edition number

1

Pages from–to

298–302

Pages count

5

BIBTEX


@inproceedings{BUT37067,
  author="Radek {Vlach},
  title="HEATING PREDICTION OF ELECTRIC MACHINE USING NEURAL NETWORK",
  booktitle="MENDEL 2010 - 16th International Conference on Soft Computing",
  year="2010",
  month="June",
  pages="298--302",
  address="Brno",
  isbn="978-80-214-4120-0"
}