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Memorias de investigación
Artículos en revistas:
Frequency Prediction of a Von Karman Vortex Street Based on a Spectral Analysis Estimation
Año:2018
Áreas de investigación
  • Ingeniería aeronaútica
Datos
Descripción
Spectral analysis studies the power distribution over frequency of a signal. This allows the characterization of time signals by its harmonics. This article will establish a relationship between the autocorrelation function and the spectrum. The direct implementation of the theory when analyzing a finite time signal results in a raw periodogram or first estimation of the spectrum. However, owing to the biased nature of the autocorrelation function, the periodogram obtained will not be a good estimation. Thus, several estimation techniques are needed in order to acquire a reliable spectrum. Amongst the techniques handled are the averaging Welch method, the use of window functions or tapering and the implementation of Fast Fourier Transform algorithms. To validate the accuracy and improvements made with these techniques, an algorithm is implemented in Matlab. Several synthetic signals are assessed and the classical Kármán Vortex Street is performed in a wind tunnel experiment. The results obtained are proof of the need for a careful study of the different estimation techniques when analyzing a signal
Internacional
Si
JCR del ISI
No
Título de la revista
American Journal of Science and Technology
ISSN
2375-3846
Factor de impacto JCR
Información de impacto
Volumen
5
DOI
Número de revista
2
Desde la página
26
Hasta la página
34
Mes
MARZO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Rafael Bardera Mora (INTA)
  • Autor: Miguel Angel Barcala Montejano (UPM)
  • Autor: Angel Antonio Rodriguez Sevillano (UPM)
  • Autor: Miguel Ruiz de Sotto (INTA)
  • Autor: Gonzalo González de Diego (INTA)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Aeronaves y Vehículos Espaciales
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