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Federal
C-MAPSS Aircraft Engine Simulator Data
National Aeronautics and Space Administration —
SPECIAL NOTE: C-MAPSS and C-MAPSS40K ARE CURRENTLY UNAVAILABLE FOR DOWNLOAD. Glenn Research Center management is reviewing the availability requirements for these... -
Federal
ASIAS - Some History
National Aeronautics and Space Administration —
The ASIAS effort builds on demonstrations that an open exchange of information contributes to improved aviation safety. ASIAS is a comprehensive effort, covering the... -
Federal
Methods for Probabilistic Fault Diagnosis: An EPS Case Study
National Aeronautics and Space Administration —
Health management systems that more accurately and quickly diagnose faults that may occur in different technical systems on-board a vehicle will play a key role in... -
Federal
HyDE
National Aeronautics and Space Administration —
HyDE is a model-based diagnosis engine for stochastic hybrid systems. HyDE uses transitional and behavioral models of the system to diagnose the occurrence of... -
Federal
TRACKING CLIMATE MODELS
National Aeronautics and Space Administration —
CLAIRE MONTELEONI, GAVIN SCHMIDT, AND SHAILESH SAROHA** Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate... -
Federal
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
National Aeronautics and Space Administration —
This paper explores how the remaining useful life (RUL) can be assessed for complex systems whose internal state variables are either inaccessible to sensors or hard... -
Federal
An Event-based Approach to Hybrid Systems Diagnosability
National Aeronautics and Space Administration —
Diagnosability is an important issue in the design of diagnostic systems, because it helps identify whether sufficient information is available to distinguish all the... -
Federal
An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation
National Aeronautics and Space Administration —
The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to...