Geodesic
Intelligent telemetry data analysis for diagnosing of the spacecraft hardware
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2016), pp. 64-75

Voir la notice de l'article provenant de la source Math-Net.Ru

This paper provide a method of spacecraft telemetry data mining, solves the problem of predicting and diagnosing its subsystems state. To solve these problems, the methods of pretreatment telemetry information using artificial neural networks of various configurations and modifications ZET-algorithm are offered. The results of clustering telemetry information by Kohonen neural network are described. It is shown that the developed methods are capable to solving tasks of monitoring and diagnostics of subsystems for spacecraft by telemetry data.
Keywords: spacecraft, monitoring, control, diagnostics, forecasting, method, neural networks, intelligent analysis system, telemetry data. 
@article{ITVS_2016_1_a5,
     author = {N. S. Abramov and A. A. Talalaev and V. P. Fralenko},
     title = {Intelligent telemetry data analysis for diagnosing of the spacecraft hardware},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {64--75},
     publisher = {mathdoc},
     number = {1},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2016_1_a5/}
}
TY  - JOUR
AU  - N. S. Abramov
AU  - A. A. Talalaev
AU  - V. P. Fralenko
TI  - Intelligent telemetry data analysis for diagnosing of the spacecraft hardware
JO  - Informacionnye tehnologii i vyčislitelnye sistemy
PY  - 2016
SP  - 64
EP  - 75
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/ITVS_2016_1_a5/
LA  - ru
ID  - ITVS_2016_1_a5
ER  - 
%0 Journal Article
%A N. S. Abramov
%A A. A. Talalaev
%A V. P. Fralenko
%T Intelligent telemetry data analysis for diagnosing of the spacecraft hardware
%J Informacionnye tehnologii i vyčislitelnye sistemy
%D 2016
%P 64-75
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/ITVS_2016_1_a5/
%G ru
%F ITVS_2016_1_a5
N. S. Abramov; A. A. Talalaev; V. P. Fralenko. Intelligent telemetry data analysis for diagnosing of the spacecraft hardware. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2016), pp. 64-75. http://geodesic.mathdoc.fr/item/ITVS_2016_1_a5/