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    • Distributed Prognostics System Implementation on Wireless Embedded Devices

    Metadata Updated: December 6, 2023

    Distributed prognostics is the next step in the evolution of prognostic methodologies. It is an important enabling technology for the emerging Condition Based Management/Prognostics Health Management paradigm. This paper provides an overview of such systems with details of the system architectures and the various possible design considerations. A distributed particle filter architecture for battery health management is developed and successfully implemented using embedded smart sensor devices with wireless communication capabilities.

    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.

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    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date December 6, 2023
    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 December 6, 2023
    Publisher Dashlink
    Maintainer
    Identifier DASHLINK_737
    Data First Published 2013-05-13
    Data Last Modified 2020-01-29
    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
    Metadata Catalog ID https://data.nasa.gov/data.json
    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 26bb9791-2741-4ad4-9dd6-d5c1b3c04e2a
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://c3.nasa.gov/dashlink/resources/737/
    Program Code 026:029
    Source Datajson Identifier True
    Source Hash 86952058f96440d2f7c5b1de2ecf2f100122045539d996a62a2f396d0b4d9224
    Source Schema Version 1.1

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