A Survey on Anomaly Detection and Diagnosis Problem in the Space System Operation

Yıl 2019, Cilt: 2 Sayı: 1, 13 - 17, 01.01.2019

Seçil Taburoğlu

https://doi.org/10.38016/jista.509532

Cited By: 3

Öz

Spacecraft telemetry
data is transferred from satellite to ground control station. The data contains
not only  information about health status
of the satellite but also contains response messages to telecommand
(telecommand data is send to spacecraft from ground control station) data.
Telemetry data can indicate data error, communication link failure, sensor
error, equipment and electronic devices failure. Safety and reliability are
provided by telemetry and telecommand data. 
The most important subjects are safety and reliability for space
mission. Therefore, telemetry data should be analyzed and take measures against
to attack or unexpected situation. Various intelligent anomaly detection
methods are proposed in the literature. Supervised/unsupervised (machine
learning) anomaly detection approaches and data mining technology are the most used
methods.  This survey paper presents an
overview on anomaly detection approaches in space system operation.

Anahtar Kelimeler

Anomaly detection, Machine Learning, Data Moning, spacraft health

Kaynakça

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