• DocumentCode
    2319458
  • Title

    Study of maintenance strategy support tools for electric power apparatus

  • Author

    Takahashi, Tsuguhiro ; Okamoto, Tatsuki

  • Author_Institution
    Central Res. Inst. of Electr. Power Ind., Tokyo
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    579
  • Lastpage
    581
  • Abstract
    The development of decision support tools for creating a maintenance strategy for electric power equipment based on asset management technique has become very intensive to reduce maintenance costs due to the liberalization of the power industry. In recent years, many papers have been presented about asset management in this area, but there have not yet been many concrete proposals. In this article, we introduce two approaches of decision support tool development for power equipment in CRIEPI. One is to support the evaluation of dissolved gas analysis for oil-immersed transformers. The tool provides comparison with data obtained from the same kind of transformers, and gives criteria among them. The other approach is to evaluate the average annual maintenance cost of equipment by considering the overhaul effect and failure risk, which provides an optimum overhaul strategy with suitable parameters.
  • Keywords
    fault diagnosis; maintenance engineering; power apparatus; transformer oil; asset management technique; dissolved gas analysis; electric power apparatus; failure risk; maintenance cost reduction; maintenance strategy support tools; oil-immersed transformers; optimum overhaul strategy; power equipment; power industry liberalization; Asset management; Concrete; Costs; Databases; Dissolved gas analysis; Electrical equipment industry; Europe; Maintenance; Proposals; Transformers; asset management; electric power equipment; maintenance; renewal; repair cost; support tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580354
  • Filename
    4580354