The paper describes the results of research in the framework of creating a production asset management system by the example of determining the resource indicators of rolling bearings of electric motors. Mathematical models to predict the technical condition of rolling bearings In the frame of the research have been developed. The possibilities to take into account the factors of secondary impact on the bearing assembly showed on the example of coupling defects. The problem of choosing the frequency of control is solved, which consists in meeting the requirement that the bearing does not reach the maximum technical condition by the time of the next control. Two methods of assigning periodicity according to the rate of damage development are considered. The equations that take into account the stages of running-in, normal operation and increased wear at the maximum operating time are justified. The developed method of forecasting the technical condition allows to organize operation on the basis of technical condition management systems. The implementation of such systems ensures the minimization of the accident rate of bearing units and the increase of the reliability of electric motors.