• DocumentCode
    2473273
  • Title

    Research of acoustic emission signal enhancement based on Discrete Fractional cosine Transform

  • Author

    Deng, Aidong ; Gao, Wei ; Bao, Yongqiang ; Zhao, Li

  • Author_Institution
    Nat. Eng. Res. Center of Turbo-generator Vibration, Southeast Univ., Nanjing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5852
  • Lastpage
    5857
  • Abstract
    The new method for discrete fractional cosine transform is proposed, and it was introduced in acoustic emission signal enhancement. According to the characteristic of rub-impact acoustic emission (AE) signal from rotating machinery, two constructions are proposed to enhance AE signal, which based on three cycles discrete fractional cosine transform (FDCT3), and modified transform (MFDCT3). The experiment date was rub impact AE signals sampled from rotating test stand, Gaussian white noise and non-stationary noise were added to simulate the real AE signal which polluted seriously by noise. Then, FDCT3 and MFDCT3 were used into de-noising and AE recognition.The result shown that FDCT3 and MFDCT3 are effective at the de-noising, and those performance is better than DCT.
  • Keywords
    Gaussian noise; acoustic emission; acoustic signal processing; discrete transforms; electric machines; signal denoising; Gaussian white noise; acoustic emission signal enhancement; discrete fractional cosine transform; modified transform; rotating machinery; rub-impact acoustic emission; 1f noise; Acoustic emission; Acoustic noise; Acoustic testing; Discrete transforms; Gaussian noise; Machinery; Noise reduction; Pollution; White noise; Acoustic Emission; Cosine Transform; De-noise; Rotary Machine; Signal Enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4592825
  • Filename
    4592825