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. |
