Аннотация:
Based on the analysis of literary sources, the article sets the goal of
forming a methodological application of information technology in diagnostics,
as well as in predicting the state of complex technical systems. It is advisable to
carry out a diagnostic assessment of the system failures risk based on modeling
their components interaction. To achieve this goal, an informational cognitive
model has been developed that allows for diagnosis to assess complex technical
systems components failure risk. In order to provide a search for the failures
causes of a complex technical system diagnosed subsystems components, a decision support model has been developed and researched. Using the developed
informational cognitive model for diagnosing complex technical systems, the
method and decision support model allows us to: diagnose the risk values of
system component failures when information about component failures is received; to predict system components failure risk value in order to select a strategy for their recovery; support decision making when searching for the causes
of system component failures. The developed methods and models, the proposed solutions for informatization of diagnostics and prediction of the complex
system technical condition provide flexibility and adaptability.
