See All Resources (857)
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Inductive System Health Monitoring
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
The Inductive Monitoring System (IMS) software was developed to provide a technique to automatically produce health monitoring knowledge bases for systems that are either difficult ...
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Inductive Learning Approaches for Improving Pilot Awareness of Aircraft Faults
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
Neural network flight controllers are able to accommodate a variety of aircraft control surface faults without detectable degradation of aircraft handling qualities. Under some faults, ...
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Integrated System Health Management (ISHM) Technology Demonstration Project Final Report
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
Integrated System Health Management (ISHM) is an essential capability that will be required to enable upcoming explorations mission systems such as the Crew Exploration Vehicle ...
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INDUCTIVE SYSTEM HEALTH MONITORING WITH STATISTICAL METRICS
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
Model-based reasoning is a powerful method for performing system monitoring and diagnosis. Building models for model-based reasoning is often a difficult and time consuming process. ...
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Data Mining Applications for Space Mission Operations System Health Monitoring
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
Recent developments in data mining techniques for anomaly detection make it possible to use the wealth of available archived spacecraft system data to produce advanced ...
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On Organization of Information: Approach and Early Work
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
In this report we describe an approach for organizing information for presentation and display. The approach stems from the observation that there is a stepwise ...
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Anomaly Detection for Next-Generation Space Launch Ground Operations
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
NASA is developing new capabilities that will enable future human exploration missions while reducing mission risk and cost. The Fault Detection, Isolation, and Recovery (FDIR) ...
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General Purpose Data-Driven System Monitoring for Space Operations
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
Modern space propulsion and exploration system designs are becoming increasingly sophisticated and complex. Determining the health state of these systems using traditional methods is becoming ...
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A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
In physical environments such as aerospace and process control, many system components and their associated information are interrelated (e.g., an increase in a chamber temperature ...
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A system for fault management and fault consequences analysis for NASA’s Deep Space Habitat
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
NASA's exploration program envisions the utilization of a Deep Space Habitat (DSH) for human exploration of the space environment in the vicinity of Mars and/or ...
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Exploration technologies for operations
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
Although the International Space Station (ISS) assembly has been completed, the Operations support teams continue to seek more efficient and effective ways to prepare for ...
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Demonstrating Autonomous Mission Operations Onboard the International Space Station
A Publication, DAVID IVERSON's Collection - 8 years, 11 months ago
Shared By: DAVID IVERSON
The NASA Autonomous Mission Operations (AMO) project conducted an experiment to turn over operation and management of selected International Space Station (ISS) systems to the ...
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Discovery of Precursors to Adverse Events using Time Series Data
A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 8 months ago
Shared By: Vijay Manikandan Janakiraman
We develop an algorithm for automatic discovery of precursors in time series data (ADOPT). In a time series setting, a precursor may be considered as ...
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A Publication, Bryan Matthews's Collection - 8 years, 11 months ago
Shared By: Bryan Matthews
The National Airspace (NAS) is constantly changing and adapting to new and complex challenges, and as a result Next Generation Air Transportation System (NextGen) will ...
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Identifying Precursors to Anomalies Using Inverse Reinforcement Learning
A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 11 months ago
Shared By: Vijay Manikandan Janakiraman
In this paper, we consider the problem of discovering candidate precursors to anomalies in a set of time sequenced data. Typical scenarios involving time sequential ...