Simulation Modeling of Diagnostics of a Highly Autonomous Complex Technical System
Abstract
Purpose: The goal is to develop a simulation model of diagnosing the condition of a complex technical system with a high level of operational autonomy. The system can stay in a partially working condition. Possible errors in the autonomous monitoring of the condition and diagnosis should be taken into account. Results: A graph of complex technical system states with a high level of operational autonomy has been developed. We have substantiated the structure of a system diagnostics simulation model, using built-in tools of current technical condition control and self-diagnostics, and an external diagnostics subsystem performing a periodic in-depth inspection. We have studied how the reliability of the diagnostics affects the size of the reliable autonomous operation interval of the analyzed system. An example is given of simulating the diagnostics of spacecraft onboard equipment in AnyLogic environment. It is shown how important it is to improve built-in self-diagnostics of highly autonomous complex technical systems and the methods of profound analysis of their condition. Practical relevance: The developed simulation model can be used to assess how often you should carry out in-depth control of highly autonomous complex technical systems under specified indicators of self-diagnostics reliability.Published
2016-08-19
How to Cite
Maltsev, G., Nazarov, A., & Yakimov, V. (2016). Simulation Modeling of Diagnostics of a Highly Autonomous Complex Technical System. Information and Control Systems, (4), 34-43. https://doi.org/10.15217/issn1684-8853.2016.4.34
Issue
Section
System and process modeling