• DocumentCode
    3773840
  • Title

    A Study on Risk Diagnosis Algorithm

  • Author

    Jeong Seok Oh;Ji Hoon Park

  • Author_Institution
    Inst. of Gas Safety R&
  • fYear
    2015
  • Firstpage
    14
  • Lastpage
    17
  • Abstract
    Industry complex include various facilities. Pipelines out of facilities are very important because they carry out source materials. Especially, a gas leak of pipeline manages carefully owing to spread other situation such as fire and explosion. Although various researches have been studied in the convergence between computer science and chemical engineering, they need a number of input variables and professional knowledge. These kinds of method are insufficient for progressing quickly to reliable situation. We developed leak location algorithm for the cause of leak on each sector in the virtually set up region.
  • Keywords
    "Pipelines","Data models","Leak detection","Neural networks","Temperature measurement","Algorithm design and analysis","Predictive models"
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Industrial Applications (ISI), 2015 Fourth International Conference on
  • Print_ISBN
    978-1-4673-9313-3
  • Type

    conf

  • DOI
    10.1109/ISI.2015.11
  • Filename
    7470440