Analysis of Hot-Wire Anemometer Turbulent Signals by Means of Delay Based Networks

Author

Bellas, F. ; Pena, F. López ; Duro, R.J. ; Simon, M. Sanchez

Author_Institution

Grupo de Sist. Autonomos, Univ. de La Coruna, Ferrol

fYear

2005

fDate

5-7 Sept. 2005

Firstpage

8

Lastpage

12

Abstract

A Neural Network based system for reconstructing turbulent signals obtained by a Hot Wire Anemometer in the shear layer surrounding a turbulent free yet of air is presented. The flow-field used as work bench presents very complex turbulence dynamics making the measured signals very difficult to predict. The results presented here show a very good agreement in prediction and present a high potential as an analysis tool.

Keywords

anemometers; flow measurement; jets; neural nets; physics computing; shear turbulence; signal reconstruction; delay based network; flow field; hot-wire anemometer turbulent signal; neural network; shear layer; turbulence dynamics; turbulent jet; turbulent signal analysis; turbulent signal reconstruction; Atmosphere; Atmospheric measurements; Automotive engineering; Density measurement; Fluid flow measurement; Performance evaluation; Signal analysis; Temperature sensors; Velocity measurement; Wire; Artificial Neural Network; Hot-wire anemometer; Signal Analysis; Signal Reconstruction; Turbulence; Turbulent Jet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE

Conference_Location

Sofia

Print_ISBN

0-7803-9445-3

Electronic_ISBN

0-7803-9446-1

Type

conf

DOI

10.1109/IDAACS.2005.282930

Filename

4062081