Automatic Spacecraft Status Characterisation by data mining mission history
Programme
Discovery
Programme Reference
13-041
Contractor
KU Leuven
Start Date
End Date
Country
The Netherlands
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
Keywords
Data treatment
Space applications
Executive summary