Simulation and software for diagnostic systems

Abstract

In this article the methods and algorithms for simulation of noise and rhythm signals in the diagnostic systems are analyzed. Values of theoretical and experimental moments of studied models and their estimates are obtained. Also the realizations of simulated processes (stationary and periodically correlated), their correlation functions estimates and spectral densities estimates are obtained. The general structure of diagnostic systems software are proposed. Software structure of the block of functional load of statistical data processing is realized. The architecture of user interface formation, necessary settings installation, operating modes selection and indication of results are shown for control unit. Features of the use of neural networks in diagnostic systems based on ART-2 are considered.