• DocumentCode
    2343284
  • Title

    Research on data processing in vibration measurement

  • Author

    Hu, Xinyu ; Chen, Zuobing ; Zhang, Daode

  • Author_Institution
    Sch. of Electromech. Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3690
  • Lastpage
    3693
  • Abstract
    As the research background of silkworm cocoon nondestructive examination method based on the vibration, signal components of the measured vibration acceleration are analized, then , the way of removing trend component is put forward here. After the trend component being deleted, the data of original signal is disposed to remove the high frequency interference component by three methods singly, which are subsection fitting , data filtering and noise eliminating by wavelet packet. Characteristic number of time domain is abstracted from the dispose result of three way. It shows that, the characteristic number from wavelet is more close to the actual data than the other two ways and is of better effect on noise eliminating in time domain and frequency domain.
  • Keywords
    acceleration measurement; agriculture; filtering theory; signal denoising; vibration measurement; wavelet transforms; data filtering; data processing; frequency domain; noise elimination; silkworm cocoon nondestructive examination method; subsection fitting; time domain; vibration acceleration measurement; wavelet packet; Acceleration; Curve fitting; Data acquisition; Data processing; Distortion measurement; Frequency; Interference; Least squares methods; Mechanical sensors; Vibration measurement; data filtering; data processing; noise eliminating; subsection fitting; vibration measurement; wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138845
  • Filename
    5138845