Detail publikace

Optimization of Stator Channels Positions Using Neural Network Approximators

SIKORA, M. ANČÍK, Z.

Anglický název

Optimization of Stator Channels Positions Using Neural Network Approximators

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

This paper deals with an improvement of synchronous generator cooling. Finding of the best positions of stator radial channels is a way to cooling improvement. An optimization method for finding of the best channels positions is presented here. The main goal of optimization is to achieve uniform temperatures field of winding along slot length, without overheated locations. The Computational Fluid Dynamic (CFD) is used for estimating of stator temperatures. Input parameters for CFD models are computed by optimization algorithm which is able to predict stator temperatures behavior. This algorithm is based on neural networks approximators. There is a feedback between CFD models and optimization algorithm.

Klíčová slova anglicky

CFD model, generator, neural network aproximator, optimization

Vydáno

2011-09-21

Nakladatel

Springer

Místo

Berlin

ISBN

978-3-642-23243-5

Kniha

Mechatronics Recent Technological and Scientific Advances

Strany od–do

365–373

Počet stran

9

BIBTEX


@inproceedings{BUT73882,
  author="Michal {Sikora} and Zdeněk {Ančík}",
  title="Optimization of Stator Channels Positions Using Neural Network Approximators",
  booktitle="Mechatronics Recent Technological and Scientific Advances",
  year="2011",
  series="Springer",
  number="1",
  pages="365--373",
  publisher="Springer",
  address="Berlin",
  isbn="978-3-642-23243-5"
}