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MARK SCHWABACHER

Member since: Sep 24, 2010, NASA ARC

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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 ...

    meatball
  • 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 ...

    meatball
  • Orca

    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 ...

MARK's Projects (1)

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