• DocumentCode
    3342151
  • Title

    Position of long-term prediction model in aging management of nuclear power plant safety cables

  • Author

    Fuse, N. ; Homma, Hiroya ; Okamoto, Tatsuaki

  • Author_Institution
    High-voltage & Insulation Sector, Central Res. Inst. of Electr. Power Ind., Yokosuka, Japan
  • fYear
    2013
  • fDate
    June 30 2013-July 4 2013
  • Firstpage
    792
  • Lastpage
    795
  • Abstract
    Polymeric insulating materials used for safety-related cables in nuclear power plants are subject to thermal and radiation environment. The durability of such materials has been preserved through environmental qualification, but recently it also becomes necessarily to develop condition monitoring methods for aging management programs in order to adjust to plant life management. Such activities require some existing technologies to be re-validated. Understanding the degradation phenomena and long-term degradation prediction are found to be prime important in the following two kinds of points; i.e., view unification on type tests and technology development in condition monitoring. The present research completed a correlation map and a road map for element issues that still need to be solved.
  • Keywords
    ageing; condition monitoring; durability; nuclear power stations; power cables; safety; aging management programs; correlation map; degradation phenomena; environmental qualification; long-term degradation prediction; long-term prediction model; nuclear power plant safety cables; plant life management; polymeric insulating materials; radiation environment; safety-related cables; technology development; thermal environment; Aging; Cable insulation; Degradation; Materials; Power generation; Predictive models; Safety; Nuclear power plants; aging management; safety-related cables; thermal and radiation degradation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid Dielectrics (ICSD), 2013 IEEE International Conference on
  • Conference_Location
    Bologna
  • ISSN
    2159-1687
  • Print_ISBN
    978-1-4799-0807-3
  • Type

    conf

  • DOI
    10.1109/ICSD.2013.6619779
  • Filename
    6619779