Statistics – Applications
Scientific paper
Dec 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996esasp.392..171l&link_type=abstract
Environment Modelling for Space-based Applications, Symposium Proceedings (ESA SP-392). ESTEC Noordwijk, 18-20 September 1996. E
Statistics
Applications
Scientific paper
The plasma environment around the Earth appears to be at the origin of several anomalies occurring during spacecraft operations. The identification of the plasma conditions leading to such anomalies is far from being achieved. The classical approaches make use of averaged parameters of the plasma environment such as the energetic electron fluence in order to determine threshold values above which anomalies are likely to occur. This approach is limited by the fact that the data sets are often too small to get statistically significant results. In particular, this precludes any attempt to take into account the dynamic of the environment. A new approach is proposed which relies on a neural network based classification of patterns of the energetic electron flux time series. This method is shown to provide a more reliable risk assessment of anomaly occurrence than a linear threshold. In addition it gives evidence that not only the fluence of energetic electrons but also the time history of the flux plays a role in the occurrence of operational anomalies.
Hilgers Alain
Lopez Honrubia F. J.
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