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Embedding Temporal Constraints for Coordinated Execution in Habitat Automation
A Publication, MARK SCHWABACHER's Collection - 11 years ago
Shared By: MARK SCHWABACHER
Future NASA plans call for long-duration deep space missions with human crews. Because of light-time delay and other considerations, increased autonomy will be needed. This ...
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General Purpose Data-Driven System Monitoring for Space Operations
A Publication, MARK SCHWABACHER's Collection - 11 years, 9 months ago
Shared By: MARK SCHWABACHER
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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Metrics for Evaluating Performance of Prognostics Techniques
A Publication, EDWARD BALABAN's Collection - 13 years, 5 months ago
Shared By: EDWARD BALABAN
Prognostics is an emerging concept in condition based maintenance (CBM) of critical systems. Along with developing the fundamentals of being able to confidently predict Remaining ...
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Using Decision Trees to Detect and Isolate Leaks in the J-2X
Other, MARK SCHWABACHER's Collection - 14 years, 2 months ago
Shared By: MARK SCHWABACHER
Full title: Using Decision Trees to Detect and Isolate Simulated Leaks in the J-2X Rocket Engine Mark Schwabacher, NASA Ames Research Center Robert Aguilar, Pratt ...
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Ares I-X Ground Diagnostic Prototype
A Publication, Ares I-X Ground Diagnostic Prototype - 14 years, 2 months ago
Shared By: MARK SCHWABACHER
The automation of pre-launch diagnostics for launch vehicles offers three potential benefits: improving safety, reducing cost, and reducing launch delays. The Ares I-X Ground Diagnostic ...
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Mining Distance-Based Outliers in Near Linear Time
A Publication, MARK SCHWABACHER's Collection - 14 years, 2 months ago
Shared By: MARK SCHWABACHER
Full title: Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule Abstract: Defining outliers by their distance to neighboring examples ...
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Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...
A Publication, MARK SCHWABACHER's Collection - 14 years, 2 months ago
Shared By: MARK SCHWABACHER
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four unsupervised anomaly detection algorithms to data ...
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Comparison of Unsupervised Anomaly Detection Methods
A Publication, Ashok Srivastava's Collection - 10 years, 10 months ago
Shared By: Ashok Srivastava
Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a comprehensive suite ...
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An Algorithm, MARK SCHWABACHER's Collection - 14 years, 2 months ago
Shared By: MARK SCHWABACHER
Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. It uses a novel pruning rule that allows it to run in ...
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