Viktor O. Speranskyy

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This paper presents an efficient technique of continuous communication channel's experimental research for identification of amplitude-frequency characteristics (AFC). The technique is based on Volterra model and founded on the application of the approximating method of identification of nonlinear dynamic system. The identification is carried out by means(More)
The development of the efficient technique of the experimental research of the continuous communication channel for amplitude-frequency characteristics (AFC) identification is given. The given technique is Volterra model based and founded on the application of the modified approximating method of identification of the nonlinear dynamic system in frequency(More)
The accuracy of the modified interpolation method of nonlinear dynamical systems identification based on the Volterra model in the frequency domain is studied. The polyharmonic signals with reduced amplitudes are used as the test ones. The model is built as first, second and third order amplitude-frequency and phase-frequency characteristics. The comparison(More)
The accuracy of the interpolation method of nonlinear dynamical systems identification based on the Volterra model in the frequency domain is studied in this paper. To extract the n-th partial component in the response of the system to the test signal the n-th partial derivative of the response using the test signal amplitude is found and its value is taken(More)
Abstract The accuracy of the interpolation method for identification of nonlinear dynamical systems based on the Volterra model in the frequency domain is studied. To highlight the n–th partial component in the response of the system to the test signal the n–th partial derivative of the response using the test signal amplitude is found and its value is(More)
The new criterion for selecting the frequencies of the test polyharmonic signals is developed. It allows uniquely filtering the values of multidimensional transfer functions — Fourier-images of Volterra kernel from the partial component of the response of a nonlinear system. It is shown that this criterion significantly weakens the known limitations(More)
This paper presents developed engineering software tools used for nonparametric identification of nonlinear dynamical systems based on Volterra models. The polyharmonic test sequences with different amplitudes are used for test procedures in frequency domain. The wavelets application allowed enlarging computational stability of the identification method for(More)
This paper presents the methodology and the software tools used for nonparametric nonlinear dynamical Volterra models constructing in frequency domain. The wavelets application allowed enlarging computational stability of the identification method for measurement noises filtering of received responses and characteristics of the system being identified. The(More)
In this paper the problem of improving the reliability of nonlinear dynamic objects fault diagnosing is presented. Model-based diagnostics nonparametric identification method is used. Diagnostic models are constructed on the base of Volterra kernels wavelet transforms. The effectiveness of the suggested diagnostic models based on Volterra kernels wavelet(More)
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