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Federal
KEYWORD SEARCH IN TEXT CUBE: FINDING TOP-K RELEVANT CELLS
National Aeronautics and Space Administration —
KEYWORD SEARCH IN TEXT CUBE: FINDING TOP-K RELEVANT CELLS BOLIN DING, YINTAO YU, BO ZHAO, CINDY XIDE LIN, JIAWEI HAN, AND CHENGXIANG ZHAI Abstract. We study the... -
Federal
A Bayesian Framework for Remaining Useful Life Estimation
National Aeronautics and Space Administration —
The estimation of remaining useful life (RUL) of a faulty component is at the center of system prognostics and health management. It gives operators a potent tool in... -
Federal
Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study
National Aeronautics and Space Administration —
The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern commercial... -
Federal
BSCW Unstructured Grids - VGRID software FINAL
National Aeronautics and Space Administration —
These grids were constructed using VGRID software from NASA Langley. The grids designed for node based (labeled 'nc') and cell-centered solvers are supplied. Grids... -
Federal
Aviation Safety 2009 IVHM Posters
National Aeronautics and Space Administration —
Posters form 2009 Aviation Safety Technical Conference -
Federal
Proactive Management of Aviation System Safety Risk
National Aeronautics and Space Administration —
Aviation safety systems have undergone dramatic changes over the past fifty years. If you take a look at the early technology in this area, you'll see that there was... -
Federal
An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries
National Aeronautics and Space Administration —
Prognostics is an emerging science of predicting the health condition of a system (or its components) based upon current and previous system states. A reliable... -
Federal
Real System Failures
National Aeronautics and Space Administration —
This resource area contains descriptions of actual electronic systems failure scenarios with an emphasis on the diversity of failure modes and effects that can befall... -
Federal
Impact of Input Uncertainty on Failure Prognostic Algorithms: Extending the Remaining Useful Life of Nonlinear Systems
National Aeronautics and Space Administration —
This paper presents a novel set of uncertainty measures to quantify the impact of input uncertainty on nonlinear prognosis systems. A Particle Filtering-based method... -
Federal
Condition-based prediction of time-dependent reliability in composites
National Aeronautics and Space Administration —
This paper presents a reliability-based prediction methodology to obtain the remaining useful life of composite materials subjected to fatigue degradation.... -
Federal
2010_09_10_position_dead
National Aeronautics and Space Administration —
Scenarios with a non-functioning position sensor fault (diagnostic) -
Federal
A Local Scalable Distributed EM Algorithm for Large P2P Networks
National Aeronautics and Space Administration —
his paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
RSW Mixed Element Medium Grid
National Aeronautics and Space Administration —
Medium grid for node-based unstructured methods using mixed-elements based on the grid guidelines. -
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
UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL RANDOM FORESTS
National Aeronautics and Space Administration —
UNDERSTANDING SEVERE WEATHER PROCESSES THROUGH SPATIOTEMPORAL RELATIONAL RANDOM FORESTS AMY MCGOVERN, TIMOTHY SUPINIE, DAVID JOHN GAGNE II, NATHANIEL TROUTMAN,... -
Federal
Accelerated Aging in Electrolytic Capacitors for Prognostics
National Aeronautics and Space Administration —
The focus of this work is the analysis of different degradation phenomena based on thermal overstress and electrical overstress accelerated aging systems and the use... -
Federal
Distributed Monitoring of the R2 Statistic for Linear Regression
National Aeronautics and Space Administration —
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one... -
Federal
DXC'10 Results
National Aeronautics and Space Administration —
Results for the DXC'10 Industrial Track.