• DocumentCode
    1577576
  • Title

    Research and development of equipment failure prognostic system based on similarity modeling

  • Author

    Yukun, Lv ; Wen, Zhu ; Shuping, Chang ; Jianglong, Guo

  • Author_Institution
    Department of Power Engineering, North China Electric Power University, NCEPU, Baoding, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The cost of equipment maintains accounts for a great proportion in the operation cost per year in the power plant. The equipment failure will cause enormous loss. If we could find out the signs of faults as early as possible, we can take effective measures to avoid the negative consequences. Alter the forced maintains into active ones, changing non-plan halt to planned halt. By this means, we can reduce the times of equipment failure to the least, prolong maintains intervals, decrease the time for maintains. So that the expanse of maintains can be reduced, the property of equipment can be improved, and the cost of fuels also can be saved. Meanwhile, the accountability and availability of the generators and the income of electricity sales can be raised up, which contributes to the less fines.
  • Keywords
    Failure Prognostic; Failure diagnosis; Similarity Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321188