• DocumentCode
    2549672
  • Title

    Failure mode risk analyzing based on grey theory for power plant steam turbine proper

  • Author

    Wang, Y. ; Yuan, J. ; Zhang, D.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    1234
  • Lastpage
    1238
  • Abstract
    As one of the top three main equipment groups in power plant, steam turbine system has an essential effect on the reliability and economy of energy production. And the steam turbine proper is the priority among priorities. Failure mode and effects analysis (FMEA) is the technique to help effectively perform hazard prevention and power systems maintenance. In traditional analysis methods, includes fuzzy inference, the risk priority number (RPN) ranking mechanism was utilized which has several drawbacks. An improved ranking method based on grey theory is put forward with taking steam turbine for example in this paper. Analysis results are compared in the final.
  • Keywords
    economics; electricity supply industry; failure analysis; fuzzy set theory; grey systems; power plants; reliability; steam turbines; economy; energy production; failure mode risk analysis; fuzzy inference; grey theory; power plant; reliability; risk priority number ranking; steam turbine system; Failure analysis; Hazards; Maintenance; Performance analysis; Power generation; Power system analysis computing; Power system reliability; Production systems; Risk analysis; Turbines; FMEA; Grey theory; risk priority number (RPN); steam turbine proper;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344440
  • Filename
    5344440