• DocumentCode
    3442536
  • Title

    Current progress on weak signal detection

  • Author

    Jie Wang ; Lu Yang ; Long Gao ; Qiang Miao

  • Author_Institution
    Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    1812
  • Lastpage
    1818
  • Abstract
    In machinery condition monitoring, weak signal is a type of signal that has very low signal-to-noise ratio (SNR). Therefore, it is necessary to develop effective methods so as to enhance or extract useful information from the noisy signal. These methods aim to solve the problem of de-noising and separation of mixed-signal. This paper investigated the current progress on weak signal detection methods, including traditional and emerging, linear and non-linear methods. The combination of various methods is presented according to their advantages and disadvantages of these methods. In the end, the future development of weak signal detection technology is summarized.
  • Keywords
    signal denoising; signal detection; SNR; current progress; denoising problem; machinery condition monitoring; mixed signal separation; noisy signal; nonlinear methods; signal detection technology; signal-to-noise ratio; weak signal detection; Fault diagnosis; Oscillators; Signal detection; Signal processing algorithms; Signal to noise ratio; Wavelet transforms; detection method; linear; non-linear; signal-to-noise ratio; weak signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625929
  • Filename
    6625929