Mathematical Model and Method for Diagnosing the Operability of Information and Control Systems

This paper focuses on the development of mathematical methods for diagnosing the operability of complex structured information and control systems with arbitrary topology in real time. We describe a model based on graph analytics which allows us to analyze various options for changing the state of information flows as they pass through the system’s structural modules. As a result, it is possible to calculate the failure coefficients for the structural modules of information and control systems and the connections between them. In order to detect and forecast failures, a software application has been developed using the mathematical methods proposed in this paper. Conclusions are drawn about increasing the probability of failure-free operation of the system when using the proposed methods for diagnosing and predicting failures.