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Federal
Automated Contingency Management for Propulsion Systems
National Aeronautics and Space Administration —
Increasing demand for improved reliability and survivability of mission-critical systems is driving the development of health monitoring and Automated Contingency... -
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
GMDH polynomial neural network
National Aeronautics and Space Administration —
Learning and building GMDH polynomial neural networks and printing them as 3rd degree polynomial equation. -
Federal
An Integrated Framework for Model-Based Distributed Diagnosis and Prognosis
National Aeronautics and Space Administration —
Diagnosis and prognosis are necessary tasks for system re- configuration and fault-adaptive control in complex systems. Diagnosis consists of detection, isolation and... -
Federal
Requirements Flowdown for Prognostics and Health Management
National Aeronautics and Space Administration —
Prognostics and Health Management (PHM) principles have considerable promise to change the game of lifecycle cost of engineering systems at high safety levels by... -
Federal
Evaluating the Impact of Unrestricted Operation of Unmanned Aircraft Systems in the National Airspace System
National Aeronautics and Space Administration —
Unmanned aircraft systems (UAS) can be used for scientific, emergency management, and defense missions, among others. The existing federal air regulations,... -
Federal
Requirements Specifications for Prognostics: An Overview
National Aeronautics and Space Administration —
With recent advancements in prognostics methodologies there has been a significant interest in maturing Prognostics and Health Management (PHM) to increase its... -
Federal
Bayesian Separation of Non-Stationary Mixtures of Dependent Gaus
National Aeronautics and Space Administration —
In this work, we propose a novel approach to perform Dependent Component Analysis (DCA). DCA can be thought as the separation of latent, dependent sources from their... -
Federal
Highly Scalable Matching Pursuit Signal Decomposition Algorithm
National Aeronautics and Space Administration —
In this research, we propose a variant of the classical Matching Pursuit Decomposition (MPD) algorithm with significantly improved scalability and computational... -
Federal
Second International Diagnostic Competition - DXC'10 Slides
National Aeronautics and Space Administration —
Slides presented at DXC'10 session of 21st International Workshop on Principles of Diagnosis -
Federal
Understanding Human Error Based on Automated Analyses vol 1
National Aeronautics and Space Administration —
A proactive approach to identifying and alleviating life-threatening conditions in the aviation system entails a well-defined process of identifying threats,... -
Federal
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS
National Aeronautics and Space Administration —
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS VARUN CHANDOLA AND RANGA RAJU VATSAVAI Abstract. Biomass monitoring,... -
Federal
2011_11_25 Lab
National Aeronautics and Space Administration —
A data set of two-minute scenarios with a large set of motion and load profiles. Each scenario started with a nominal actuator, then, at 1-minute mark the ballscrew... -
Federal
HIRENASD fine unstructured grid
National Aeronautics and Space Administration —
Unstructured HIRENASD mesh - fine size (46.4 million nodes, 104 million elements) for node centered solvers - 31.05.2011 -
Federal
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach
National Aeronautics and Space Administration —
In this paper we propose an innovative learning algorithm - a variation of One-class ? Support Vector Machines (SVMs) learning algorithm to produce sparser solutions... -
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
OPC_NARX_LWPR
National Aeronautics and Space Administration —
Matrikon OPC server Recurrent NARX NNs LWPR