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Instruments and Systems: Monitoring, Control, and Diagnostics

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Development of an Algorithm for Forming a Knowledge Base for Revealing Emergency Combinations of Factors During Operation of an Unpiloted Vehicle
A.V. DOROSHENKO, A.A. KULIK

The article describes an algorithm that makes it possible to identify at an early stage emergency combinations of heterogeneous events that occur during the movement of an unmanned vehicle. Risk factors are identified, divided into subgroups. At the first stage, the precedent matrix is reduced to the analysis of two-factor combinations; subsequently, combinations recognized as non-zero for the occurrence of complex risks, but not critical for the system, will be analyzed in the three-factor analysis matrix. The proposed algorithm makes it possible to identify possible risks almost in real time.
Keywords: unmanned vehicle, emergency combinations, risk factors, algorithm for identifying emergency combinations.


DOI: 10.25791/pribor.4.2023.1405

Pp. 48-56.

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