NASA’s successful development of next generation space vehicles, habitats, and robotic systems will rely on effective Fault Management Engineering. Traditional approaches to Fault Management (FM) are costly, difficult to execute, and largely decoupled from the main system engineering activities. The proposed concept is to demonstrate the feasibility of deriving FM data from a minimum set of information to add the FM portion of the models and to auto-generate FM products. Tietronix’ experience with Fault Management activities has indicated that the relationships between nominal and FM data can be utilized to add the FM portion of the models and to auto-generate FM products. The benefits of this concept are reduced time to translate system design information into system models, quick turnaround time to produce fault management and safety engineering artifacts, and the ability to visualize failure effects (for the system and contribution of each mechanism) resulting in enhanced system design integrity and early identification of system risks. Our Phase I concept will enable the integration of fault management early in the system engineering lifecycle, facilitating the discovery of design weaknesses and enhancing the capability to produce safe, hazard-free systems.
Human/Robotic missions, Europa Clipper, Orion Ascent/Abort (AA-2) Software, Deep Space Gateway and Transport (DSG&T), advanced life support systems, autonomous systems, and Robonaut.
DoD: UAV, UCAV, ULV, Training Simulators
Commercial: Any complex system requiring advanced Fault Management; automotive, airline and power plant SCADA systems