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Bryan Matthews

Member since: Sep 14, 2010, NASA/ARC SGT

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  • ADAPTIVE FAULT DETECTION ON LIQUID PROPULSION SYSTEMS WITH VIRTUAL SENSORS: ALGORITHMS AND ARCHITECTURES

    A Publication, Bryan Matthews's Collection - 14 years, 1 month ago

    Shared By: Bryan Matthews

    Prior to the launch of STS-119 NASA had completed a study of an issue in the flow control valve (FCV) in the Main Propulsion System ...

    meatball
  • Ares I-X Ground Diagnostic Prototype

    A Publication, Ares I-X Ground Diagnostic Prototype - 14 years, 1 month 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 ...

    meatball
  • Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

    A Publication, Kanishka Bhaduri's Collection - 13 years, 12 months ago

    Shared By: Kanishka Bhaduri

    meatball
  • Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...

    A Publication, MARK SCHWABACHER's Collection - 14 years, 1 month 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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  • Comparative Analysis of Data-Driven Anomaly Detection Methods

    A Publication, Ashok Srivastava's Collection - 10 years, 10 months ago

    Shared By: Ashok Srivastava

    This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a ...

    meatball
  • Algorithms for Spectral Decomposition with Applications

    A Publication, Ashok Srivastava's Collection - 10 years, 10 months ago

    Shared By: Ashok Srivastava

    The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

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  • Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study

    A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 14 years, 1 month ago

    Shared By: Bryan Matthews

    The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...

    meatball
  • MKAD Synthetic Data

    A Dataset, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 14 years, 1 month ago

    Shared By: Bryan Matthews

    Synthetic data used to demonstrate the effectiveness of the MKAD algorithm with respect to detecting anomalies in both the continuous numerical data and binary discrete ...

    meatball
  • sequenceMiner algorithm

    An Algorithm, Suratna Budalakoti's Collection - 14 years ago

    Shared By: Suratna Budalakoti

    Detecting and describing anomalies in large repositories of discrete symbol sequences. sequenceMiner has been open-sourced! Download the file below to try it out. sequenceMiner was ...

  • Spectral Decomposition Algorithm (SDA)

    An Algorithm, Bryan Matthews's Collection - 14 years, 1 month ago

    Shared By: Bryan Matthews

    Spectral Decomposition Algorithm (SDA) is an unsupervised feature extraction technique similar to PCA that was developed to better distinguish spectral features in the space shuttle ...

Bryan's Projects (16)

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