• DocumentCode
    583510
  • Title

    Development of corrosion rates estimation method for CUI using information gain ratio

  • Author

    Tateno, Shigeyuki ; Ichiyama, Motoki ; Yahiro, Kentaro ; Matsuyama, Hisayoshi ; O´Shima, Eiji

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    803
  • Lastpage
    807
  • Abstract
    Almost all chemical and petrochemical plants in Japan have been operated for 30 years or more. Leakage accidents in piping often occur in such a kind of plants because of CUI (Corrosion Under Insulation) progress. In the worst case, inner fluid leakage might affect human bodies or the environment. Proper predictive maintenance work based of corrosion rate estimation should be performed to prevent the accidents. In the previous research, corrosion rates have been estimated based on databases constructed by cases of past corrosion. However, the method of previous research has some problems, such as the estimation accuracy is insufficient. In this research, a selection support system which can estimate corrosion rates with high accuracy using information gain ratio and reliability is developed.
  • Keywords
    accident prevention; chemical industry; corrosion; industrial plants; inspection; petrochemicals; petroleum industry; pipes; preventive maintenance; reliability; CUI; Japan; accident prevention; corrosion rate estimation method; corrosion under insulation; estimation accuracy; fluid leakage; information gain ratio; inspection; petrochemical plant; piping leakage accident; predictive maintenance work; reliability; selection support system; Accuracy; Corrosion; Estimation; Gain; Insulation; Maintenance engineering; Reliability; corrosion rate; corrosion under insulation; information gain ratio; plant maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393292