A method of predicting the influence random events on the critical functionality of an object is discussed. Research is performed regarding the possibility of extending a prediction model to a prediction system by functionally uniting this model with additional models or recognizing the type of influence of a random event on a complex technical object. The proposed solution is importatnt because executing a prediction system instead of a prediction model allows one to detect critical situations that, when influencing technical objects, can result in the catastrophic loss of functionality of the corresponding objects.

This paper describes research related to the use of heuristics in diagnostic tasks of complex technical objects. To build heuristics, the use of text models for technical objects is proposed. Therefore, this paper examines output methods of heuristics from text models and their transformation into logical formulae suitable for use in diagnostic algorithms. Analysis has been carried out for tasks solved during diagnostics, and methods of using heuristics in certain tasks have been reviewed. It is proposed to use heuristics for decision making while implementing certain algorithm steps of monitoring tasks for diagnostic parameters that are solved during diagnostics.