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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    Anomaly Detection for Complex Systems

    Metadata Updated: February 21, 2025

    In performance maintenance in large, complex systems, sensor information from sub-components tends to be readily available, and can be used to make predictions about the system's health and diagnose possible anomalies.

    However, existing methods can only use predictions of individual component anomalies to guess at systemic problems, not accurately estimate the magnitude of the problem, nor prescribe good solutions.

    Since physical complex systems usually have well-defined semantics of operation, we here propose using anomaly detection techniques drawn from data mining in conjunction with an automated theorem prover working on a domain-specific knowledge base to perform systemic anomalydetection on complex systems.

    For clarity of presentation, the remaining content of this submission is presented compactly in Fig 1.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

    Downloads & Resources

    Dates

    Metadata Created Date February 21, 2025
    Metadata Updated Date February 21, 2025
    Data Update Frequency irregular

    Metadata Source

    Harvested from nasa test json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 21, 2025
    Metadata Updated Date February 21, 2025
    Publisher Dashlink
    Maintainer
    Identifier DASHLINK_92
    Data First Published 2010-09-10
    Data Last Modified 2025-02-19
    Public Access Level public
    Data Update Frequency irregular
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 3456f8b0-ec32-4785-a6bd-a7726caa8441
    Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
    Harvest Source Title nasa test json
    Homepage URL https://c3.nasa.gov/dashlink/resources/92/
    Program Code 026:029
    Source Datajson Identifier True
    Source Hash 260963de1c9d8ac2e8a04f6cba8d93e3265a99d6a9dcaeee92c266007d350ae9
    Source Schema Version 1.1

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