• DocumentCode
    3152665
  • Title

    On-line deterioration prediction residual life evaluation of rotating equipment based on vibration measurement

  • Author

    Goto, Satoru ; Adachi, Yuhki ; Tafuchi, Sinjika ; Furue, Toshihiko ; Uchida, Yoshitaka ; Sueyoshi, Mitsuhoro ; Hatazaki, Hironori ; Nakamura, Masatoshi

  • Author_Institution
    Dept. of Adv. Syst. Control Eng., Saga Univ., Saga
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    In this paper, an on-line deterioration prediction method and residual life evaluation are proposed for maintenance of rotating equipment. Status of the rotating equipment is inspected by vibration measurement and a mathematical model for the deterioration of the equipment is derived in order to predict future condition of the rotating equipment. For the construction of the deterioration model, outliers in the vibration data caused by measurement errors and so on are eliminated in order to improve accuracy of the deterioration model. Residual life of the rotating equipment is evaluated from the deterioration prediction by using the deterioration model. The effectiveness of the proposed deterioration prediction method and residual life evaluation are assured by actual data of rotating equipment in thermal power plants.
  • Keywords
    maintenance engineering; mathematical analysis; power apparatus; remaining life assessment; thermal power stations; vibration measurement; online deterioration prediction; residual life evaluation; rotating equipment; thermal power plants; vibration measurement; Acceleration; Accelerometers; Costs; Inspection; Lubrication; Measurement errors; Power generation; Prediction methods; Thermal management; Vibration measurement; Deterioration Prediction; On-Line Estimation; Outlier Judgement; Residual Life Evaluation; Rotating Equipment; Vibration Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference, 2008
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-907764-30-2
  • Electronic_ISBN
    978-4-907764-29-6
  • Type

    conf

  • DOI
    10.1109/SICE.2008.4654767
  • Filename
    4654767