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sabato, 16 dicembre 2017

Pubblicazioni

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Dettagli Pubblicazione
Autori:Daniele Codetta Raiteri
Andrea Guiotto
Luigi Portinale
Yuri Yushtein
Area Scientifica:Diagnosis
Uncertain Reasoning
Probabilistic Graphical Models
Dependability and Reliability
Formal Models
Titolo:ARPHA: an innovative on-board FDIR reasoning engine for autonomous systems
Apparso su:Proceedings of Data Systems in Aerospace
Editore:ESA
Anno:2012
Tipo Pubblicazione:Paper on Proceedings International Conference
Sommario:In the frame of the European Space Agency (ESA) studies, Thales Alenia Space has carried out a research – VERIFIM - in collaboration with Universita’ del Piemonte Orientale, implementing a software prototype called ARPHA for on-board diagnosis, prognosis and recovery. It is an innovative on-board FDIR (Failure Detection, Isolation and Recovery) reasoning engine for autonomous systems, based on the inference techniques that use Dynamic Probabilistic Graphical Models. It started in June 2010 and ended in December 2011.