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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
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
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
Space Shuttle Main Propulsion System Anomaly Detection: A Case Study
National Aeronautics and Space Administration —
The space shuttle main engine (SSME) is part of the Main Propnlsion System (MPS) which is an extremely complex system containing several sub-systems and components,... -
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
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
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
In-situ fatigue life prognosis for composite laminates based on stiffness degradation
National Aeronautics and Space Administration —
In this paper, a real-time composite fatigue life prognosis framework is proposed. The proposed methodology combines Bayesian inference, piezoelectric sensor... -
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
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
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
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
DIAGNOSTIC/PROGNOSTIC EXPERIMENTS FOR CAPACITOR DEGRADATION AND HEALTH MONITORING IN DC-DC CONVERTERS
National Aeronautics and Space Administration —
Studying and analyzing the ageing mechanisms of electronic components avionics in systems such as the GPS and INAV are of critical importance. In DC-DC power... -
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
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
HIRENASD Comparisons of FEM modal frequencies and modeshapes
National Aeronautics and Space Administration —
Below are frequency comparisons of different models with experiment Note Modeshapes aren't very descriptive for higher modes. There is coupling between them so this...