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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
Precursor Parameter Identification for Insulated Gate Bipolar Transistor (IGBT) Prognostics
National Aeronautics and Space Administration —
Precursor parameters have been identified to enable development of a prognostic approach for insulated gate bipolar transistors (IGBT). The IGBT were subjected to... -
Federal
Amphibious UAV
National Aeronautics and Space Administration —
This Amphibious UAV, less than 10 meters in length is a perfect scout for Naval Reconnaissance. It can be greatly effective for detecting incoming enemy subs or naval... -
Federal
Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress
National Aeronautics and Space Administration —
Electrolytic capacitors are used in several applications rang- ing from power supplies on safety critical avionics equipment to power drivers for electro-mechanical... -
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
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
Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform
National Aeronautics and Space Administration —
Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of end... -
Federal
DXC'11 Results
National Aeronautics and Space Administration —
Results for the DXC'11 Industrial Track, Diagnostic Problem I (no entries for DP II). -
Federal
Probabilistic Fault Diagnosis in Electrical Power Systems
National Aeronautics and Space Administration —
Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power... -
Federal
Battery Health Management System for Electric UAVs
National Aeronautics and Space Administration —
In summary, this paper lays out a novel battery health management technique for application onboard an electric UAV. This technique is also applicable to other... -
Federal
Aerospace Example
National Aeronautics and Space Administration —
This is a textbook, created example for illustration purposes. The System takes inputs of Pt, Ps, and Alt, and calculates the Mach number using the Rayleigh Pitot... -
Federal
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
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. In many cases,... -
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
Prognostics Performance Evaluation
National Aeronautics and Space Administration —
This is the first version of the performance evaluation tool. Evaluation is based on point estimates of the RUL predictions. a more detailed documentation will be... -
Federal
Decadal Variations in NDVI and Food Production in India
National Aeronautics and Space Administration —
In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production... -
Federal
MKAD (Open Sourced Code)
National Aeronautics and Space Administration —
The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization...