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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
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
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
Anomaly Detection in a Fleet of Systems
National Aeronautics and Space Administration —
A fleet is a group of systems (e.g., cars, aircraft) that are designed and manufactured the same way and are intended to be used the same way. For example, a fleet of... -
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
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
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
Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators
National Aeronautics and Space Administration —
Being relatively new to the field, electromechanical actuators in aerospace applications lack the knowledge base compared to ones accumulated for the other actuator... -
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
A Modeling Framework for Prognostic Decision Making and its Application to UAV Mission Planning
National Aeronautics and Space Administration —
The goal of prognostic decision making (PDM) is to utilize information on anticipated system health changes in selecting future actions. One of the key challenges in... -
Federal
Ensemble Data Mining Methods
National Aeronautics and Space Administration —
Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve... -
Federal
Comparative Analysis of Data-Driven Anomaly Detection Methods
National Aeronautics and Space Administration —
This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a... -
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
HIRENASD Beam FEM
National Aeronautics and Space Administration —
This contains attempts to create BEAM FEM model. I have started a Blog to discuss this... please put your comments there and I will attempt to keep everything... -
Federal
Energy Analysis of Multi-Function Devices in an Office Environment
National Aeronautics and Space Administration —
As part of an effort to monitor electricity usage by plug loads in a new high performance office building, plug load management devices were deployed to enable data...