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Automatic Spacecraft Status Characterisation by data mining mission history
Thu, 02/21/2019 - 18:56
Start Date:
2014
Programme:
Discovery
End Date:
2015
Programme Reference:
13-041
Country:
The Netherlands
Contractor:
KU Leuven
Description:
This study investigates data mining techniques useful for the health monitoring of spacecraft, focusing on (1) features derived from telemetry parameter time series; (2) derived parameters from auxiliary data sources; (3) Kernel-‐density estimate (KDE) based data density change detection; (5) Poincaré plot analysis; (6) command effect analysis
Application Domain:
Generic Technologies
Keywords:
Data treatment
Space applications
Executive summary:
