Spacecraft Emergency Situations Automated Scenarios Design within the Framework of FDIR Concept and Dynamical Neural Networks Technique

Authors

  • Alexey Tuturov V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Olga Andrianova V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia; Tecnologico de Monterrey-Campus Guadalajara, Research Institute of Advanced Materials for Sustainable Manufacturing, Guadalajara, Mexico
  • Ernest Sleptsov V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Evgeniy Yurkevich V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Lidia Kryukova V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia

DOI:

https://doi.org/10.25728/assa.2022.22.4.1297

Keywords:

FDIR concept, dynamical neural networks, telemetry, socio-cyberphysical system

Abstract

The space complex is considered as a Socio-CyberPhysical System (SCPS) in order to point out that the human factor is one of the most important ones in the analysis of emergency situations using spacecraft telemetry in the conditions of the current level of software development, information and technical resources of the space complex to ensure its functional stability. Functional stability of the system means its functionality under the influence of destructive factors of the external or internal environment. The concept of Fault Detection, Isolation, and Recovery (FDIR) is described, its advantages and drawbacks are pointed out in the context of the current problem. Based on the FDIR concept, decision support systems will be developed in future. In the framework of FDIR, spacecraft telemetry data is proposed to be used to design the monitor, the task of which is to identify and register emergency situations, based on modern data processing tools, namely, Dynamical Neural Networks (DNNs).

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Published

2022-12-30

How to Cite

Tuturov, A., Andrianova, O., Sleptsov, E., Yurkevich, E., & Kryukova, L. (2022). Spacecraft Emergency Situations Automated Scenarios Design within the Framework of FDIR Concept and Dynamical Neural Networks Technique. Advances in Systems Science and Applications, 22(4), 19–30. https://doi.org/10.25728/assa.2022.22.4.1297