Virtual techniques in the optimization of the recognizing the state of machines

The system of recognizing the state of machines should enable: control of the state, forecasting the state in case of the applicability of the machine, location of damage in case of the unfitness of the machine, genesis of state and describing the probable reason for the appearance of located damage. In the recognition process of the state of the machine a set of diagnostic parameters is being used. He is being favored from the set of output parameters. With the tool an optimization of the set of diagnostic parameters is of help in a process of selection of parameters. At the work an effect of computer programs which enables the realization of the optimization methodology of the recognition process of the state of machines was described. The program consists of five modules: canvassing of data, optimization of diagnostic parameters, evaluation of the state, forecasting the state, genesis of state.