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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
DXC'09 Framework
National Aeronautics and Space Administration —
The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs). It is complementary to system XML catalogs and... -
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
Inductive Monitoring System (IMS)
National Aeronautics and Space Administration —
IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal... -
Federal
Model-based Diagnostics for Propellant Loading Systems
National Aeronautics and Space Administration —
The loading of spacecraft propellants is a complex, risky operation. Therefore, diagnostic solutions are neces- sary to quickly identify when a fault occurs, so that... -
Federal
IGBT accelerated aging data set.
National Aeronautics and Space Administration —
Preliminary data from thermal overstress accelerated aging using the aging and characterization system. The data set contains aging data from 6 devices, one device... -
Federal
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING
National Aeronautics and Space Administration —
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract.... -
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
Multivariate Time Series Search
National Aeronautics and Space Administration —
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical... -
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
Anomaly Detection with Text Mining
National Aeronautics and Space Administration —
Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The problem... -
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
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
A Bayesian Framework for Remaining Useful Life Estimation
National Aeronautics and Space Administration —
The estimation of remaining useful life (RUL) of a faulty component is at the center of system prognostics and health management. It gives operators a potent tool in... -
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
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...