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  • Simulating Degradation Data for Prognostic Algorithm Development

    Other, Abhinav Saxena's Collection - 7 years, 8 months ago

    Shared By: Abhinav Saxena

    PHM08 Challenge Dataset is now publicly available at the NASA Prognostics Respository + Download INTRODUCTION - WHY SIMULATE DEGRADATION DATA? Of various challenges encountered in ...

  • Sensor Validation using Bayesian Networks

    A Publication, Ole Mengshoel's Collection - 7 years, 8 months ago

    Shared By: Ole Mengshoel

    One of NASA’s key mission requirements is robust state estimation. Sensing, using a wide range of sensors and sensor fusion approaches, plays a central role ...

    meatball
  • Probabilistic Fault Diagnosis in Electrical Power Systems

    A Publication, Ole Mengshoel's Collection - 7 years, 8 months ago

    Shared By: Ole Mengshoel

    Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power system ...

    meatball
  • Efficient Matlab Programs

    Other, John Stutz's Collection - 7 years, 8 months ago

    Shared By: John Stutz

    Matlab has a reputation for running slowly. Here are some pointers on how to speed computations, to an often unexpected degree. Subjects currently covered: Matrix ...

    meatball
  • Enceladus Results

    Other, Bryan Matthews's Collection - 7 years, 8 months ago

    Shared By: Bryan Matthews

    Here are some results from the Spectra Decomposition Algorithm on infrared spectral images of Saturn's moon Enceladus. Figure 1 is the spatial contribution of the ...

  • Anomaly Detection with Text Mining

    A Publication, Ashok Srivastava's Collection - 4 years, 5 months ago

    Shared By: Ashok Srivastava

    Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The problem ...

    meatball
  • Anomaly Detection in Sequences

    An Algorithm, Ashok Srivastava's Collection - 4 years, 5 months ago

    Shared By: Ashok Srivastava

    We present a set of novel algorithms which we call sequenceMiner, that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise ...