Name
Title | ||
|---|---|---|
Mathematical Model and Method for Diagnosing the Operability of Information and Control Systems |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ACIT54803.2022.9913102 | 2022 12th International Conference on Advanced Computer Information Technologies (ACIT) |
Keywords | DocType | ISSN |
information and control systems,graphical and analytical model,mathematical methods of diagnostics,structural module of the system failure coefficient for the structural module | Conference | 2770-5218 |
ISBN | Citations | PageRank |
978-1-6654-6647-9 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olena Syrotkina | 1 | 0 | 0.34 |
| Ziad Kobti | 2 | 0 | 0.34 |
| Mykhailo Aleksieiev | 3 | 0 | 0.68 |
| Borys Moroz | 4 | 0 | 0.68 |
| Iryna Udovyk | 5 | 1 | 0.96 |
| Grygorii Diachenko | 6 | 0 | 0.34 |