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Automatic Spacecraft Status Characterisation by data mining mission history

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

The Netherlands

13-041

KU Leuven

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