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Friday, 24 May 2024


Pubblication Details
Authors:Daniele Codetta Raiteri
Andrea Guiotto
Luigi Portinale
Yuri Yushtein
Scientific Area:Diagnosis
Uncertain Reasoning
Probabilistic Graphical Models
Dependability and Reliability
Formal Models
Title:ARPHA: an innovative on-board FDIR reasoning engine for autonomous systems
Published on:Proceedings of Data Systems in Aerospace
Tipo Pubblicazione:Paper on Proceedings International Conference
Abstract: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.