• DocumentCode
    2021472
  • Title

    Condition Monitoring of a Turbine Flowmeter Using a Deconvolution Method

  • Author

    Al-Manie, M.A.

  • Author_Institution
    Comput. & Electron. Res. Inst., King Abdulaziz City for Sci. & Technol., Riyadh
  • fYear
    2006
  • fDate
    12-14 Sept. 2006
  • Firstpage
    323
  • Lastpage
    325
  • Abstract
    In this paper, time-frequency distribution (TFD) is calculated using a deconvolution method to represent the collected signals for an operating normal and faulty flowmeters for the objective of detecting any existing flaws. The final result is obtained as a function of time and frequency. The deconvolution method can be defined as the process of recovering the input to some system from its input given information about that particular system. This type of approach is used in the field of time-frequency analysis to enhance the resolution of the time-varying spectrum. In this experiment, a fault is introduced by slightly cutting a part of three of the rotor blades to simulate erosion then data is collected for the two cases representing the normal and faulty flowmeters
  • Keywords
    blades; deconvolution; flowmeters; time-frequency analysis; turbines; condition monitoring; deconvolution method; faulty flowmeters; rotor blades; time-frequency analysis; time-frequency distribution; time-varying spectrum; turbine flowmeter; Condition monitoring; Convolution; Deconvolution; Fault detection; Iterative algorithms; Radio frequency; Spectrogram; Testing; Time frequency analysis; Turbines; Condition Monitoring; Deconvolution; Time-Frequency Distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RF and Microwave Conference, 2006. RFM 2006. International
  • Conference_Location
    Putra Jaya
  • Print_ISBN
    0-7803-9744-4
  • Electronic_ISBN
    0-7803-9745-2
  • Type

    conf

  • DOI
    10.1109/RFM.2006.331095
  • Filename
    4133610