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    FederalClassificationNational 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...
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    FederalSpace Shuttle Main Propulsion System Anomaly Detection: A Case StudyNational 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,...
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    FederalPrognostics in Battery Health ManagementNational 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...
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    FederalReferences: BSCWNational 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...
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    FederalMultiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case StudyNational 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...
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    FederalComparison of Unsupervised Anomaly Detection MethodsNational 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...
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    FederalDistributed Anomaly Detection Using Satellite Data From Multiple ModalitiesNational 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....
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    FederalAccelerated Aging in Electrolytic Capacitors for PrognosticsNational 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...
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    FederalMULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACHNational Aeronautics and Space Administration — MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH VARUN CHANDOLA AND RANGA RAJU VATSAVAI Abstract. Multispectral remote sensing images have...
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    FederalOn Applying the Prognostic Performance MetricsNational Aeronautics and Space Administration — Prognostics performance evaluation has gained significant attention in the past few years. *As prognostics technology matures and more sophisticated methods for...
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    FederalA Modeling Framework for Prognostic Decision Making and its Application to UAV Mission PlanningNational Aeronautics and Space Administration — The goal of prognostic decision making (PDM) is to utilize information on anticipated system health changes in selecting future actions. One of the key challenges in...
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    FederalEnergy Analysis of Multi-Function Devices in an Office EnvironmentNational Aeronautics and Space Administration — As part of an effort to monitor electricity usage by plug loads in a new high performance office building, plug load management devices were deployed to enable data...
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    FederalHIRENASD Beam FEMNational Aeronautics and Space Administration — This contains attempts to create BEAM FEM model. I have started a Blog to discuss this... please put your comments there and I will attempt to keep everything...
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    FederalCOMPLEX NETWORKS IN CLIMATE SCIENCE: PROGRESS, OPPORTUNITIES AND CHALLENGESNational Aeronautics and Space Administration — COMPLEX NETWORKS IN CLIMATE SCIENCE: PROGRESS, OPPORTUNITIES AND CHALLENGES KARSTEN STEINHAEUSER, NITESH V. CHAWLA, AND AUROOP R. GANGULY Abstract. Networks have been...
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    FederalEnsemble Data Mining MethodsNational 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...
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    FederalExperimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical ActuatorsNational 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...
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    FederalProbabilistic Fault Diagnosis in Electrical Power SystemsNational 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...
