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 Maturation
Tools and methods for ISHM design and systems engineering, systems risk management
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Physics Based Methods
Investigate physics-based technologies in system health management, diagnostics and prognostics
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Assess the potential of quantum computers to perform calculations that are difficult or impossible using conventional supercomputers. Evaluate various quantum computing approaches. Initial work will focus on theoretical and empirical analysis of quantum annealing approaches to difficult optimization problems such as those posed by diagnostics and decision making problems.
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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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