Health Monitoring of Spacecraft

Space Systems

An alternative data-driven approach has been suggested for anomaly detection by Takehisa Yairi and collaborators (Yairi et al.). The process takes into account five characteristics of telemetry data: High dimensionality, multimodality, heterogeneity, temporal dependence, missing data and trivial outliers

Benefits for the company

In a spacecraft, there can be 1000+ monitored telemetry variables, that on-earth engineers analyse to diagnose abnormalities. AI helps in saving time and resource, deliviring output with great precision.



Type of expertise/ AI domain

Principal Component Analysis, Support Vector Machine, AI

Internal data required

Telemetry Data

Research Paper

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