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Program Systems: Theory and Applications, 2017, Volume 8, Issue 2, Pages 19–31
DOI: https://doi.org/10.25209/2079-3316-2017-8-2-19-31
(Mi ps260)
 

Mathematic Modeling

Data generation for the problem of diagnostics of space systems

S. A. Amelkin, O. G. Shishkin, A. A. Talalaev

Ailamazyan Program Systems Institute of RAS
References:
Abstract: The task of testing the operability of the sensor equipment of space systems is urgent, since it is related to ensuring fault tolerance. As the scale and complexity of systems and programs grow, the amount of information analyzed increases, and it is not always available for experimental studies related to the modeling of various anomalies, which is necessary for constructing and setting up special monitoring and diagnostic systems. A software tool for data generation is proposed to simulate a variety of situations with sensors of a spacecraft and to develop a technique for detecting and predicting faults. Due to the proposed means, a high level of coverage is provided for the automatic control of various situations that arise during the operation of space vehicles. A more accurate adjustment of the instrumentation for monitoring, diagnosing and forecasting the development of situations associated with anomalies and failures of the sensors. (In Russian).
Key words and phrases: spacecraft, telemetry data generation, subsystems, anomaly diagnostics, testing, data emulation.
Funding agency Grant number
Russian Foundation for Basic Research 15-29-06945_офи_м
Received: 20.04.2017
Accepted: 15.05.2017
Document Type: Article
UDC: 004.94
Language: Russian
Citation: S. A. Amelkin, O. G. Shishkin, A. A. Talalaev, “Data generation for the problem of diagnostics of space systems”, Program Systems: Theory and Applications, 8:2 (2017), 19–31
Citation in format AMSBIB
\Bibitem{AmeShiTal17}
\by S.~A.~Amelkin, O.~G.~Shishkin, A.~A.~Talalaev
\paper Data generation for the problem of diagnostics of space systems
\jour Program Systems: Theory and Applications
\yr 2017
\vol 8
\issue 2
\pages 19--31
\mathnet{http://mi.mathnet.ru/ps260}
\crossref{https://doi.org/10.25209/2079-3316-2017-8-2-19-31}
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