This content is not published

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: