This paper presents a method for the classification of nonlinear systems through the study of the free oscillations in the time-frequency plane, when the measured data are affected by fractal noise of the Wiener type. Nonconservative SDOF (Single Degree Of Freedom) oscillators described by a nonlinear second order differential equation are considered. The nonlinearity is due to a nonlinear function of the state variable, which produces free oscillations with a timevariant spectrum. The method used for the classification is a substantial modification of a basic algorithm proposed by the same authors for noise-free data. In presence of fractal noise improved performances are obtained with the new algorithm.

A method for nonlinear system classification in the time-frequency plane in presence of fractal noise / Galleani, Lorenzo; LO PRESTI, Letizia. - 1:(1999), pp. 149-153. ((Intervento presentato al convegno IEEE-EURASIP workshop on Nonlinear Signal and Image Processing (NSIP'99) tenutosi a Antalya (TUR) nel June 20-23, 1999.

A method for nonlinear system classification in the time-frequency plane in presence of fractal noise

GALLEANI, Lorenzo;LO PRESTI, Letizia
1999

Abstract

This paper presents a method for the classification of nonlinear systems through the study of the free oscillations in the time-frequency plane, when the measured data are affected by fractal noise of the Wiener type. Nonconservative SDOF (Single Degree Of Freedom) oscillators described by a nonlinear second order differential equation are considered. The nonlinearity is due to a nonlinear function of the state variable, which produces free oscillations with a timevariant spectrum. The method used for the classification is a substantial modification of a basic algorithm proposed by the same authors for noise-free data. In presence of fractal noise improved performances are obtained with the new algorithm.
File in questo prodotto:
File Dimensione Formato  
1663124.pdf

non disponibili

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 606.51 kB
Formato Adobe PDF
606.51 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/1663124
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo