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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
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
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
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
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
Automated Discovery of Flight Track Anomalies
National Aeronautics and Space Administration —
As new technologies are developed to handle the complexities of the Next Generation Air Transportation System (NextGen), it is increasingly important to address both... -
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
Battery Charge Depletion Prediction on an Electric Aircraft
National Aeronautics and Space Administration —
Validation of prognostic technologies through ground and flight tests is an important step in maturing these novel technologies and deploying them on real-world... -
Federal
A Model-based Avionic Prognostic Reasoner (MAPR)
National Aeronautics and Space Administration —
The Model-based Avionic Prognostic Reasoner (MAPR) presented in this paper is an innovative solution for non-intrusively monitoring the state of health (SoH) and... -
Federal
Machine Learning for Earth Observation Flight Planning Optimization
National Aeronautics and Space Administration —
This paper is a progress report of an effort whose goal is to demonstrate the effectiveness of automated data mining and planning for the daily management of Earth... -
Federal
ANALYZING AVIATION SAFETY REPORTS: FROM TOPIC MODELING TO SCALABLE MULTI-LABEL CLASSIFICATION
National Aeronautics and Space Administration —
ANALYZING AVIATION SAFETY REPORTS: FROM TOPIC MODELING TO SCALABLE MULTI-LABEL CLASSIFICATION AMRUDIN AGOVIC, HANHUAI SHAN, AND ARINDAM BANERJEE* Abstract. The... -
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
Towards a Framework for Evaluating and Comparing Diagnosis Algorithms
National Aeronautics and Space Administration —
Diagnostic inference involves the detection of anomalous system behavior and the identification of its cause, possibly down to a failed unit or to a parameter of a... -
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
Distributed Diagnosis in Uncertain Environments Using Dynamic Bayesian Networks
National Aeronautics and Space Administration —
This paper presents a distributed Bayesian fault diagnosis scheme for physical systems. Our diagnoser design is based on a procedure for factoring the global system... -
Federal
ν-Anomica: A Fast Support Vector based Novelty Detection Technique
National Aeronautics and Space Administration —
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark... -
Federal
OMAD 2014 Workshop Proceedings
National Aeronautics and Space Administration —
not available -
Federal
Designing Resource-Bounded Reasoners using Bayesian Networks
National Aeronautics and Space Administration —
In this work we are concerned with the conceptual design of large-scale diagnostic and health management systems that use Bayesian networks. While they are...