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Analysis of Historical Transformer Failure and Maintenance Data: Effects of Era, Age, and Maintenance on Component Failure Rates.

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Title: Analysis of Historical Transformer Failure and Maintenance Data: Effects of Era, Age, and Maintenance on Component Failure Rates.
Authors: Stringer, Andrew D.1 (AUTHOR) andrew.d.stringer2.civ@mail.mil, Thompson, Christopher C.1 (AUTHOR) thompsony@gmail.com, Barriga, Carolina I.1 (AUTHOR) carolinabarriga1995@gmail.com
Source: IEEE Transactions on Industry Applications. Nov/Dec2019, Vol. 55 Issue 6, p5643-5651. 9p.
Subjects: Historical analysis, Reliability in engineering, Paint, Failure analysis, Maintenance, Operating costs, Trend analysis
Abstract: For several decades, The U.S. Army Corps of Engineers has maintained a unique database of equipment failure and maintenance data for critical facilities. This article takes a closer look at historical transformer failure and maintenance data, and provides a unique analysis of failure trends. Detailed analysis shows that failure rates for different categories of transformers demonstrate unique trends over time, with equipment age, and with respect to preventative maintenance levels. By analyzing over 144 thousand unit years of operational data, this article paints a more complete picture of component reliability. The data show that careful consideration of detailed failure and maintenance can better upgrade facility design and maintenance decisions, ultimately leading to improved system reliability and reduced operational costs. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Industry Applications is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Industry+Applications%22">IEEE Transactions on Industry Applications</searchLink>. Nov/Dec2019, Vol. 55 Issue 6, p5643-5651. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Historical+analysis%22">Historical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Paint%22">Paint</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+analysis%22">Failure analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Maintenance%22">Maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Operating+costs%22">Operating costs</searchLink><br /><searchLink fieldCode="DE" term="%22Trend+analysis%22">Trend analysis</searchLink>
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  Data: For several decades, The U.S. Army Corps of Engineers has maintained a unique database of equipment failure and maintenance data for critical facilities. This article takes a closer look at historical transformer failure and maintenance data, and provides a unique analysis of failure trends. Detailed analysis shows that failure rates for different categories of transformers demonstrate unique trends over time, with equipment age, and with respect to preventative maintenance levels. By analyzing over 144 thousand unit years of operational data, this article paints a more complete picture of component reliability. The data show that careful consideration of detailed failure and maintenance can better upgrade facility design and maintenance decisions, ultimately leading to improved system reliability and reduced operational costs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Industry Applications is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TIA.2019.2937057
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 5643
    Subjects:
      – SubjectFull: Historical analysis
        Type: general
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Paint
        Type: general
      – SubjectFull: Failure analysis
        Type: general
      – SubjectFull: Maintenance
        Type: general
      – SubjectFull: Operating costs
        Type: general
      – SubjectFull: Trend analysis
        Type: general
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      – TitleFull: Analysis of Historical Transformer Failure and Maintenance Data: Effects of Era, Age, and Maintenance on Component Failure Rates.
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            NameFull: Barriga, Carolina I.
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              M: 11
              Text: Nov/Dec2019
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              Y: 2019
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