Diagnostics and Prognostics
The Diagnostics and Prognostics (DnP) group is focused on: 1) Developing and maturing diagnostic and prognostic algorithms and uncertainty management techniques; 2) Leading the health management community in defining, standardizing, and applying metrics for measuring IVHM algorithm performance; 3) Investigating component fault behavior and damage progression; and 4) Generating and disseminating data sets for validation of diagnostic and prognostic techniques. The DnP group maintains a lab with several HIL testbeds that are considered a national asset.
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The Data Sciences (DS) group collaborates with domain scientists in the fields of Integrated System Health Management, Aeronautics, Space Exploration, Earth Sciences and Space Sciences to answer pressing scientific questions in the field of machine learning, knowledge discovery, and related areas. We also do fundamental research to create tools and methods to aid in the assimilation and understanding of scientific and engineering data to best advance NASA's missions.
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ISHM Technology Insertion Projects
Application and maturation of health management technologies for ISHM design and systems engineering, automated model generation, fault management, advanced caution and warning for crew and ground operations, and automated diagnosis for flight and ground operations.
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The Applied Physics (AP) group conducts theoretical and empirical analyses of quantum computing and annealing algorithms, and investigates their applications to challenging computational problems in areas such as Earth-science data understanding, air-traffic flow control, and autonomous decision-making. This is the home of the NASA Ames Quantum Artificial Intelligence Laboratory (QuAIL). AP also develops physics-based approaches to aerospace system health management, non-destructive evaluation, and diagnostics & prognostics, with the goal of minimizing design risk and enhancing operational safety of aircraft and spacecraft. Another area of intense current activity is multi-physics modeling and optimization of additive manufacturing processes for metals, plastics, and composites.
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Prognostics Center of Excellence
The Prognostics Center of Excellence (PCoE) at Ames Research Center provides an umbrella for prognostic technology development, specifically addressing prognostic technology gaps within the application areas of aeronautics and space exploration.
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