The Discovery and Systems Health (DaSH) technical area focuses on challenges in understanding engineering and science data. The engineering data understanding work is centered around the emerging systems engineering discipline of Integrated Systems Health Management (ISHM). Ames is NASA's premier ISHM research and development facility, with strengths in design of health management systems, ISHM systems engineering, sensor selection and optimization, monitoring, data analysis, prognostics, diagnostics, failure recovery, diagnostic decision aids, data and knowledge management, and ISHM human factors.
Scientific data understanding work targets large-scale data analysis problems in data-rich domains such as earth science and cosmology. In addition, DaSH is involved in data analysis and mining for a variety of other NASA missions including aviation safety and security, the Space Shuttle program, and the NASA Engineering Safety Center. Resident expertise includes machine learning, data mining, text mining, statistical pattern recognition, and exploratory data analysis.
DASHlink Goes Live
The virtual laboratory allows health management researchers to disseminate results and collaborate on research problems
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Prognostics Consortium Spring Review
Ames-sponsored project investigates failure precursors for Insulated Gate Bipolar Transistors
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Prognostics Testbed Paper Presented
Bhaskar Saha’s paper discussed the diagnostics and prognostics of batteries using Bayesian techniques
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Prognostics for Electronics Project Review
Aging models and prognostics algorithms developed under this project will predict remaining life of select faulted electronic components
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