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Federal
Prognostics in Battery Health Management
National Aeronautics and Space Administration —
Batteries represent complex systems whose internal state vari- ables are either inaccessible to sensors or hard to measure un- der operational conditions. This work... -
Federal
References: BSCW
National Aeronautics and Space Administration —
Benchmark Supercritical Wing was also tested on the OTT with oscillations in Pitch. Only one row of pressure transducers were acquired during these tests. The time... -
Federal
Understanding Human Error Based on Automated Analyses
National Aeronautics and Space Administration —
This is a report on a continuing study of automated analyses of experiential textual reports to gain insight into the causal factors of human errors in aviation... -
Federal
Distributed Anomaly Detection Using Satellite Data From Multiple Modalities
National Aeronautics and Space Administration —
There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate models.... -
Federal
Identification of Spatial Fault Patterns in Semiconductor Wafers
National Aeronautics and Space Administration —
Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being... -
Federal
Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption
National Aeronautics and Space Administration —
Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel... -
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
Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...
National Aeronautics and Space Administration —
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four... -
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
Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation
National Aeronautics and Space Administration —
This paper describes how damage propagation can be modeled within the modules of aircraft gas turbine engines. To that end, response surfaces of all sensors are... -
Federal
Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery
National Aeronautics and Space Administration —
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process... -
Federal
Classification of Mars Terrain Using Multiple Data Sources
National Aeronautics and Space Administration —
Classification of Mars Terrain Using Multiple Data Sources Alan Kraut1, David Wettergreen1 ABSTRACT. Images of Mars are being collected faster than they can be... -
Federal
Accelerated Aging with Electrical Overstress and Prognostics for Power MOSFETs
National Aeronautics and Space Administration —
Power electronics play an increasingly important role in energy applications as part of their power converter circuits. Understanding the behavior of these devices,... -
Federal
Classification
National Aeronautics and Space Administration —
A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of training... -
Federal
Comparison of Unsupervised Anomaly Detection Methods
National Aeronautics and Space Administration —
Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a... -
Federal
On Applying the Prognostic Performance Metrics
National Aeronautics and Space Administration —
Prognostics performance evaluation has gained significant attention in the past few years. *As prognostics technology matures and more sophisticated methods for... -
Federal
HIRENASD analysis Information Package
National Aeronautics and Space Administration —
Updated November 2, 2011 Contains summary information and analysis condition details for the Aeroelastic Prediction Workshop Information plotted in this package is... -
Federal
Exploring the Model Design Space for Battery Health Management
National Aeronautics and Space Administration —
Battery Health Management (BHM) is a core enabling technology for the success and widespread adoption of the emerging electric vehicles of today. Although battery...