Detail publikace

Optimization of Stator Channels Positions Using Neural Network Approximators

SIKORA, M. ANČÍK, Z.

Originální název

Optimization of Stator Channels Positions Using Neural Network Approximators

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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

CFD model, generator, neural network aproximator, optimization

Autoři

SIKORA, M.; ANČÍK, Z.

Rok RIV

2011

Vydáno

21. 9. 2011

Nakladatel

Springer

Místo

Berlin

ISBN

978-3-642-23243-5

Kniha

Mechatronics Recent Technological and Scientific Advances

Edice

Springer

Číslo edice

1

Strany od

365

Strany do

373

Strany počet

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"
}