Spacecraft Anomaly Analysis and Prediction System – SAAPS Peter Wintoft 1), Henrik Lundstedt 1), Lars Eliasson 2), Leif Kalla 2), and Alain Hilgers 3)

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Spacecraft Anomaly Analysis and Prediction System – SAAPS Peter Wintoft 1), Henrik Lundstedt 1), Lars Eliasson 2), Leif Kalla 2), and Alain Hilgers 3) 1) Swedish Institute of Space Physics – Lund 2) Swedish Institute of Space Physics – Kiruna 3) ESA/ESTEC

SAAPS Spacecraft Anomaly Analysis and Prediction System ESA Contract 11974/96/NL/JG(SC): –Development of AI Methods in Spacecraft Anomaly Predictions Extension of the SPEE studySPEE Two year project (April June 2001) Database and software

Purpose Develop tools for the analysis and prediction of spacecraft anomalies.

Approach Statistical methods for the analysis. Artificial intelligence (AI) based models, such as neural networks, for predictions. Real time operation. Database of space weather data and spacecraft anomalies.

The model

SAAPS Data Sources

SAAM Spacecraft Anomaly Analysis Module Plotting tools Statistics –Superposed epoch analysis –Correlations (linear and entropy based) –Cluster analysis –Pattern definition and search Guidelines Estimate best prediction model

SAPM Spacecraft Anomaly Prediction Module Neural network based prediction models Real time forecast Connects to SAAM for analysis Anomaly index (?) and/or Spacecraft dependent anomaly predictions

Anomaly index?

Kp based predictions A(t+1d) Kp(t-8*24h) Kp(t) Kp(t-8d) Kp(t) Satellite specific model (geostationary) Fraction of correct classifications is 0.65 on balanced test set

Mutual information between average Kp and ESD anomaly data

Mutual information between Kp and ESD anomaly data

Anom

SAAPS part of RWC-Sweden

Issues SAAPS Applets –communicate over port 2001 => Firewall problems. –use of RMI for data access => RMI might be a problem on specific OS. SAAPS uses non-standard database engine.

Future SAAPS database and models will be merged with the IRF-GIC Pilot Project. A standard database engine will be used (MySQL). More development on the anomaly prediction models are necessary.

IRF SAAPS Server ESTEC SAAPS Server

New ACE data set A new ACE data set will soon be released –Merged MAG and SWEPAM data –64 second resolution

Lund Dst model - Matlab - Java