172 results found Selected 0 items No itemsClear selection Select / deselect all results (all pages, 172 total) Artificial intelligence (AI) and natural language processing (NLP) to support space engineering activities Model based approaches have proved to be efficient in supporting engineering activities, models replacing traditional document-based approaches. Nevertheless even in most advanced deployments, a lot of engineering artifacts are textual either because the return on investment of introducing models is too low on this particular case or because the information is more efficiently expressed in natural language even if consistency and correctness issues appears. France Discovery 20-D-T-TEC-04-n Thales Alenia Space 2020 - 2022 Artificial intelligence (AI) and natural language processing (NLP) to support space engineering activities De-risk assessment: Model Based FDIR design Today, spacecraft FDIR (Fault Detection, Isolation and Recovery) design is a time-consuming and error prone paper-based workflow, which does not help mastering the growing complexity of the space systems, and which mostly prevents early validation and verification of the design. Adequacy of the FDIR design is often assessed very late in the process (integration and test phase), sometimes even after the launch of the spacecraft (FDIR parameter tuning). 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