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    Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis

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    Author
    Losik, Len
    Affiliation
    Failure Analysis
    Issue Date
    2011-10
    Keywords
    Failure Analysis
    Independent Failure Analysis
    Fault Analysis
    Prognostics
    Failure Analysis
    Diagnostics
    Telemetry Analysis
    Failure Isolation
    Identification and Recovery
    
    Metadata
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    Rights
    Copyright © held by the author; distribution rights International Foundation for Telemetering
    Collection Information
    Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
    Publisher
    International Foundation for Telemetering
    Journal
    International Telemetering Conference Proceedings
    Abstract
    Current failure analysis practices use diagnostic technology developed over the past 100 years of designing and manufacturing electrical and mechanical equipment to identify root cause of equipment failure requiring expertise with the equipment under analysis. If the equipment that failed had telemetry embedded, prognostic algorithms can be used to identify the deterministic behavior in completely normal appearing data from fully functional equipment used for identifying which equipment will fail within 1 year of use, can also identify when the presence of deterministic behavior was initiated for any equipment failure.
    Sponsors
    International Foundation for Telemetering
    ISSN
    0884-5123
    0074-9079
    Additional Links
    http://www.telemetry.org/
    Collections
    International Telemetering Conference Proceedings, Volume 47 (2011)

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