Title :
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
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;
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
DOI :
10.1109/IDAACS.2005.282930
