• DocumentCode
    2223668
  • Title

    Optimize a RFID-based turbine maintenance model - a preliminary study

  • Author

    Lyu, JrJung ; Chen, Tung-Liang

  • Author_Institution
    Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    501
  • Lastpage
    505
  • Abstract
    To consolidate the balance of sustained generator and diminished maintenance cost in the power plant is one of the most desired goals of a plant administrator. This goal, in fact, can be fulfilled by a proper turbine maintenance policy. This study presented the use of total productive maintenance and the development of turbine prevention maintenance models can enhance the efficiency of equipments. The probabilistic failure analysis model can determine the maintenance cycle and best maintenance time of turbine by data analysis. In addition, it is shown that applying the radio frequency identification (RFID) in a prevention maintenance operational model could generate cost-saving effectiveness.
  • Keywords
    preventive maintenance; radiofrequency identification; steam turbines; RFID-based turbine maintenance; plant administrator; radio frequency identification; sustained generator; total productive maintenance; turbine maintenance policy; turbine prevention maintenance; turbine-generated power; Generators; Geothermal power generation; Monitoring; Nuclear power generation; Power generation; Power system modeling; Preventive maintenance; Radiofrequency identification; Solar power generation; Turbines; RFID; total productive maintenance; turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737919
  • Filename
    4737919