Model-based Data Integration and Process Standardization Techniques for Fault Management – A Feasibility Study
Author(s) -
D. Haste,
Sudipto Ghoshal,
Stephen B. Johnson,
C.E. Moore
Publication year - 2018
Publication title -
2018 aiaa aerospace sciences meeting
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2018-0707
Subject(s) - standardization , computer science , process (computing) , data modeling , fault management , data integration , data management , software engineering , database , operating system , engineering , structural engineering , node (physics)
This paper describes the theory and considerations in the application of model-based techniques to assimilate information from disjoint knowledge sources for performing NASA’s Fault Management (FM)-related activities using the TEAMS toolset. FM consists of the operational mitigation of existing and impending spacecraft failures. NASA’s FM directives have both design-phase and operational-phase goals. This paper highlights recent studies by QSI and DST of the capabilities required in the TEAMS toolset for conducting FM activities with the aim of reducing operating costs, increasing autonomy, and conforming to time schedules. These studies use and extend the analytic capabilities of QSI’s TEAMS toolset to conduct a range of FM activities within a centralized platform. Keywords—FM design, architectural trade studies, multi-domain data integration, common cause failures (CCFs), Failure Effect Propagation Timing (FEPT), system health management (SHM).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom