Health Monitoring of Spacecraft
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