Hybrid systems of control and diagnostics of seashore platform states

The algorithms of improving the robustness of the estimations of dispersion . auto ard crosscorrelation functions and Fourier coefficients are worked o ut. Being used information signs the algorithms allow to increase the relia bility of the diagnostics of the states of seashore objects of oil and gas extraction. For forecasting the appearance of failure situations, the algor ithms of analysis of noises which has information about the beginning of hi dden changes preceding the serious failure of some technical objects, are s uggested. One of the alternatives of the realization of the considered algo rithms in hybrid systems of control and diagnostics is presented.