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Federal
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
National Aeronautics and Space Administration —
The worldwide civilian aviation system is one of the most complex dynamical systems created. Most modern commercial aircraft have onboard flight data recorders that... -
Federal
Third International Diagnostic Competition - DXC'11 Slides
National Aeronautics and Space Administration —
Slides presented at DXC'11 session of 22nd International Workshop on Principles of Diagnosis -
Federal
ISS_COORDS_2021-10-04
National Aeronautics and Space Administration —
This data represents the best estimated real-time trajectory and local sightings opportunities for the International Space Station (ISS) as generated by the... -
Federal
Third International Diagnostic Competition - DXC'11
National Aeronautics and Space Administration —
We present the third implementation of a framework created jointly by NASA Ames Research Center, Palo Alto Research Center, and Delft University of Technology to... -
Federal
Towards A Model-Based Prognostics Methodology For Electrolytic Capacitors: A Case Study Based On Electrical Overstress Accelerated Aging
National Aeronautics and Space Administration —
This paper presents a model-driven methodology for predict- ing the remaining useful life of electrolytic capacitors. This methodology adopts a Kalman filter approach... -
Federal
DXC'11 Results
National Aeronautics and Space Administration —
Results for the DXC'11 Industrial Track, Diagnostic Problem I (no entries for DP II).