Automatic Spacecraft Status Characterisation by data mining mission history
Programme Reference
13-041
Country
The Netherlands
Start Date
2014
End Date
2015
Programme: Discovery Prime 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
• Initial TRL: TRL N/A
• Target TRL: TRL N/A
•Public Document:
