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    • HyDE

    Metadata Updated: March 5, 2026

    HyDE is a model-based diagnosis engine for stochastic hybrid systems. HyDE uses transitional and behavioral models of the system to diagnose the occurrence of unobserved events (a subset of which could be faults). More details can be found on the HyDE webpage http://ti.arc.nasa.gov/project/hyde-diagnostics/

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date March 5, 2026
    Data Update Frequency irregular

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date March 5, 2026
    Publisher Dashlink
    Maintainer
    Identifier DASHLINK_122
    Data First Published 2010-09-10
    Data Last Modified 2025-07-17
    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 47b5ba59-9ee6-49c3-9f41-b2941c0a9d69
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://c3.nasa.gov/dashlink/resources/122/
    Program Code 026:029
    Source Datajson Identifier True
    Source Hash 97f3b5eacc7597e91c61873fba063b1975edd6e40cbfca4dd6600e3aff374938
    Source Schema Version 1.1

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