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Federal
Predicting Battery Life for Electric UAVs
National Aeronautics and Space Administration —
This paper presents a novel battery health management technology for the new generation of electric unmanned aerial vehicles powered by long-life, high-density,... -
Federal
Prognostics of Power MOSFET
National Aeronautics and Space Administration —
This paper demonstrates how to apply prognostics to power MOSFETs (metal oxide field effect transistor). The methodology uses thermal cycling to age devices and... -
Federal
Propulsion Health Monitoring of a Turbine Engine Disk using Spin Test Data
National Aeronautics and Space Administration —
On line detection techniques to monitor the health of rotating engine components are becoming increasingly attractive options to aircraft engine companies in order to... -
Federal
Towards Prognostics of Power MOSFETs: Accelerated Aging and Precursors of Failure
National Aeronautics and Space Administration —
This paper presents research results dealing with power MOSFETs (metal oxide semiconductor field effect tran- sistor) within the prognostics and health management of... -
Federal
Fleet Level Anomaly Detection of Aviation Safety Data
National Aeronautics and Space Administration —
For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. The... -
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
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
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
Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of Airline Operations
National Aeronautics and Space Administration —
Published at 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSM 17 - 19 September 2012, Indianapolis, Indiana -
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
Estimation of Faults in DC Electrical Power System
National Aeronautics and Space Administration —
This paper demonstrates a novel optimizationbased approach to estimating fault states in a DC power system. The model includes faults changing the circuit topology... -
Federal
Modeling, Detection, and Disambiguation of Sensor Faults for Aerospace Applications
National Aeronautics and Space Administration —
Sensor faults continue to be a major hurdle for sys- tems health management to reach its full potential. At the same time, few recorded instances of sensor faults... -
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
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
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
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...