S.A.T.E. @ 2016 Conference on Big Data from Space
S.A.T.E. participated at the 2016 Conference on Big Data from Space in Tenerife (Auditorio de Tenerife, Santa Cruz de Tenerife, Spain) from the 15th to the 17th of March 2016.
During the conference (Image and Data Mining for Big Data plenary session) S.A.T.E. presented the results obtained in two works performed for the European Space Agency (ESA) aiming at improving ground operations applying novelty detection methods to telemetry data sent by satellites.
It is well known that in space ground-operations the number of spacecraft telemetry parameters and telecommands keeps increasing while the manpower for operating the ground systems keeps being reduced. This means that it is not possible for Flight Control Engineers (FCEs) to analyse manually each parameter or telecommand to verify their consistency with the overall status of the satellite. Therefore there is the need of automatic methods and/or systems that identify in these large datasets, including today over 15.000 parameters and telecommands for one satellite, which parameters should be the focus of FCEs.. Indeed FCEs should analyse first those showing the higher level of inconsistency with respect to the expectations or to the past behavior…
Download the full text at the following link:
Priority scores based on novelty detection to improve the efficiency of ground-operations
Download the presentation at the following link:
Priority scores based on novelty detection to improve the efficiency of ground-operations (presentation)
See greater details at the following link:
http://congrexprojects.com/2016-events/16m05/introduction
Download the Conference Proceedings at the following link:
http://publications.jrc.ec.europa.eu/repository/handle/JRC100655
