• DocumentCode
    3290218
  • Title

    Noise elimination from measured vibration response signals

  • Author

    Bao, Xingxian ; Li, Cuilin

  • Author_Institution
    Dept. of Marine Eng. & Fluid Mech., China Univ. of Pet. (East China), Qingdao, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    1491
  • Lastpage
    1494
  • Abstract
    Measured signals are inevitably contaminated with noise when a data acquisition system is used for an experimental measurement. The quality of measured signals is adversely affected by noise originating from test environment as well as electronic devices. This situation often leads to serious difficulties in many applications as they require high-quality measured data. This paper presents a noise elimination method from measured vibration response signals based on structured low rank approximation (SLRA). A cantilever beam experiment is used to demonstrate the performance of the proposed method. The results show that this method will enhance the accuracy of various applications that rely on measured signals.
  • Keywords
    approximation theory; beams (structures); cantilevers; data acquisition; interference suppression; singular value decomposition; vibration measurement; SLRA; cantilever beam experiment; data acquisition system; electronic devices; noise elimination method; singular value decomposition; structured low rank approximation; vibration response signal measurement; Approximation methods; Matrix decomposition; Noise; Noise measurement; Pollution measurement; Sea measurements; Vibration measurement; noise elimination; singular value decomposition; structured low rank approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778149
  • Filename
    5778149