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.Pubblicazioni consigliate
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https://hdl.handle.net/11583/1663124
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