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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
Physics of Failure Models for Capacitor Degradation in DC-DC Converters
National Aeronautics and Space Administration —
This paper proposes a combined energy-based model with an empirical physics of failure model for degradation analysis and prognosis of electrolytic capacitors in DC-... -
Federal
Pseudo-Label Generation for Multi-Label Text Classification
National Aeronautics and Space Administration —
With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data,... -
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
Energy Analysis of Multi-Function Devices in an Office Environment
National 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... -
Federal
Knowledge-Based System to Support Plug Load Management
National Aeronautics and Space Administration —
Electrical plug loads comprise an increasingly larger share of building energy consumption as improvements have been made to Heating, Ventilation, and Air... -
Federal
Knowledge Management for Large Scale Condition Based Maintenance
National Aeronautics and Space Administration —
This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with... -
Federal
Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft
National Aeronautics and Space Administration —
Electrical power systems play a critical role in spacecraft and aircraft, and they exhibit a rich variety of failure modes. This paper discusses electrical power... -
Federal
Characterizing Variability and Multi-Resolution Predictions
National Aeronautics and Space Administration —
In previous papers, we introduced the idea of a Virtual Sensor, which is a mathematical model trained to learn the potentially nonlinear relationships between spectra... -
Federal
Prognostic Techniques for Capacitor Degradation and Health Monitoring
National Aeronautics and Space Administration —
This paper discusses our initial efforts in constructing physics of failure models for electrolytic capacitors subjected to electrical stressors in DC-DC power... -
Federal
Discovering System Health Anomalies using Data Mining Techniques
National Aeronautics and Space Administration —
We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both... -
Federal
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
National Aeronautics and Space Administration —
This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
A Reasoning Architecture for Expert Troubleshooting of Complex Processes
National Aeronautics and Space Administration —
This paper introduces a novel reasoning methodology, in combination with appropriate models and measurements (data) to perform accurately and expeditiously expert... -
Federal
A Local Scalable Distributed EM Algorithm for Large P2P Networks
National Aeronautics and Space Administration —
his paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Federal
PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN ONE-CLASS BAYES LEARNING FOR ANOMALY DETECTION
National Aeronautics and Space Administration —
PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN ONE-CLASS BAYES LEARNING FOR ANOMALY DETECTION GUICHONG LI, NATHALIE JAPKOWICZ, IAN HOFFMAN,... -
Federal
Addressing the Real-World Challenges in the Development of Propulsion IVHM Technology Experiment (PITEX)
National Aeronautics and Space Administration —
The Propulsion IVHM Technology Experiment (PITEX) has been an on-going research effort conducted over several years. PITEX has developed and applied a model-based... -
Federal
Improving Distributed Diagnosis Through Structural Model Decomposition
National Aeronautics and Space Administration —
Complex engineering systems require efficient fault diagnosis methodologies, but centralized ap- proaches do not scale well, and this motivates the development of... -
Federal
An Event-based Distributed Diagnosis Framework using Structural Model Decomposition
National Aeronautics and Space Administration —
Complex engineering systems require efficient on-line fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis... -
Federal
Ares I-X Ground Diagnostic Prototype
National Aeronautics and Space Administration —
The automation of pre-launch diagnostics for launch vehicles offers three potential benefits: improving safety, reducing cost, and reducing launch delays. The Ares...