Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis

ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada === Current failure analysis practices use diagnostic technology developed over the past 100 years of design...

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Main Author: Losik, Len
Other Authors: Failure Analysis
Language:en_US
Published: International Foundation for Telemetering 2011
Subjects:
Online Access:http://hdl.handle.net/10150/595768
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-5957682016-02-07T03:00:40Z Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis Losik, Len Failure Analysis Failure Analysis Independent Failure Analysis Fault Analysis Prognostics Failure Analysis Diagnostics Telemetry Analysis Failure Isolation Identification and Recovery ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada 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. 2011-10 text Proceedings 0884-5123 0074-9079 http://hdl.handle.net/10150/595768 International Telemetering Conference Proceedings en_US http://www.telemetry.org/ Copyright © held by the author; distribution rights International Foundation for Telemetering International Foundation for Telemetering
collection NDLTD
language en_US
sources NDLTD
topic Failure Analysis
Independent Failure Analysis
Fault Analysis
Prognostics
Failure Analysis
Diagnostics
Telemetry Analysis
Failure Isolation
Identification and Recovery
spellingShingle Failure Analysis
Independent Failure Analysis
Fault Analysis
Prognostics
Failure Analysis
Diagnostics
Telemetry Analysis
Failure Isolation
Identification and Recovery
Losik, Len
Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis
description ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada === 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.
author2 Failure Analysis
author_facet Failure Analysis
Losik, Len
author Losik, Len
author_sort Losik, Len
title Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis
title_short Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis
title_full Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis
title_fullStr Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis
title_full_unstemmed Using Data-Driven Prognostic Algorithms for Completing Independent Failure Analysis
title_sort using data-driven prognostic algorithms for completing independent failure analysis
publisher International Foundation for Telemetering
publishDate 2011
url http://hdl.handle.net/10150/595768
work_keys_str_mv AT losiklen usingdatadrivenprognosticalgorithmsforcompletingindependentfailureanalysis
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